Hoong Chuin Lau 刘洪泉

Address: 80 Stamford Road. Singapore (178902)
Tel: +65-6828-0229
Email: hclau@smu.edu.sg

Current Appointments

Editorship and Conference Organization

Education

  • BSc, Computer Science, Summa Cum Laude (University of Minnesota, Minneapolis, USA), 1987
  • MSc, Computer Science, Summa Cum Laude (University of Minnesota, Minneapolis, USA), 1988
  • DEng, Computer Science (Tokyo Institute of Technology, Japan), 1996
  • Master in Christian Studies, Magna Cum Laude (Biblical Graduate School of Theology, Singapore), 2013

News

Research

Overview

Working at the interface of Artificial Intelligence and Operations Research, I am interested in combining data analytics and optimization for decision-making in business. More specifically, I make use of optimization models, agent-based models, and metaheuristics to solve use-inspired data-driven resource planning, scheduling and coordination problems in logistics, transportation, and supply chain management. Recently, my focus is on planning and scheduling problems in an urban shared economy. The common thread running through my research is a focus on going beyond papers to build usable novel tools and prototypes, a number of which have been testbedded and deployed in industry.

Research Leadership Roles:

Editorial of Special Issues

  • Hoong Chuin Lau, Günther R. Raidl and Pascal Van Hentenryck. New developments in metaheuristics and their applications. Journal of Heuristics, 22:4, 2016. doi:10.1007/s10732-016-9313-x
  • Haolan Zhang and Hoong Chuin Lau. Agent-based problem solving methods in big data environment. Web Intelligence and Agent Systems Journal, IOS Press, 12:4, 2014
  • Martin Bichler, Robert Kauffman, Hoong Chuin Lau, Christopher Yang and Yinping Yang. Proceedings of the 14th International Conference on Electronic Commerce, ACM Press, New York, 2012

A sample of systems and patent developed recently:

System/PrototypePurpose
Theme Park Experience Management System and mobile appReal-time interactive crowd movement flow tracking and coordination, and personalized itinerary planning in a theme park https://www.nrf.gov.sg/innovation-enterprise/innovative-projects/services-and-digital-economy/theme-park-navigation-applications
Crowd Management SystemSingapore Patent Number 10201509975U granted on 24 August 2017. The main claim is as follows:
A method for managing a crowd attending multiple capacity constrained resources comprising the steps of:
  • operatively connecting an operator via an internet connection to multiple users of the crowd to form a network;
  • determining a status of each capacity-constrained resource;
  • receiving a preferred order of attendance from each of multiple users;
  • for each user, computing a schedule based on the preferred order of attendance of the user and the status of each capacity constrained resource, wherein computing a schedule includes coordinating the schedules of multiple users;
  • for each user, presenting the personalized schedule to the user, wherein the schedule comprises the status of multiple capacity constrained resources; and
  • for each user, providing a personalized incentive to the user for following the schedule; and receiving real time updates on the status of each capacity-constrained resource and for at least one of multiple users, performing a re-computation of the schedule of the at least one of multiple users in response to the real time updates, wherein re-computation of the schedule is automatically performed without prompting from the user, and pushing out a real time update to the schedule based on the re-computed schedule using a push notification and an incentive to the user to follow the modified schedule.

Crowd Simulator developed for a large convention center: https://ucp.unicen.smu.edu.sg/crowdsim/#/login
Port Simulation and Gate OptimizationThis is a simulation-based system that enables planners to evaluate port traffic operations under different operational scenarios, so as to optimize processes for higher efficiency and facilitate traffic policy-making for future expansion of the port. In particular, we apply data analytics to understand traffic flow through gates, and generate lane utilization policies that achieves minimal wait times.

https://ucp.unicen.smu.edu.sg/mpo-system-uat/index.html
Electronic Marketplace (Uber for Logistics)The eMarket platform is an online auction system aims to address targeted aspects of B2B and B2C urban consolidation in large cities. It allows logistics companies to either auction their last mile delivery services, or to bid for delivery jobs. The system will perform optimized matching in a win-win fashion.

https://ucp.unicen.smu.edu.sg/emps
Collaborative Urban Logistics platform (CUDO)This is a collaborative platform that enables one stop booking and automated optimized route planning and scheduling of B2B pickups and deliveries taking into consideration congestions and limited docks at the pickup and delivery locations.

https://ucp.unicen.smu.edu.sg/cudo-development/login
Ground Response Allocation and Deployment: Visualization, Optimization and Simulation (GRAND-VISION)The system combines data analytics with optimisation and prediction to reduce manpower while maintaining response time standards. The project combines the following elements:
  1. Incident prediction: machine learning of historical data enabling the generation of synthetic incident sets for planning.
  2. Resource optimisation: robust optimisation techniques are used to generate efficient deployment plans and manpower shift schedules.
  3. Simulation: resource plans are evaluated through simulations that may be used to examine solution performance across a range of test scenarios.
  4. Visualisation: enable decision makers to make resource allocation decisions that combine optimization with on-the-ground experience.
https://ucp.unicen.smu.edu.sg/gv/

Highlights of Publications in reverse chronological order (see full publications)

Lucas Agussurja, Shih-Fen Cheng and Hoong Chuin Lau. State Aggregation Approach for Stochastic Multi-Period Last-Mile Ride-Sharing Problem. To appear in Transportation Science. [PDF]

Duc Thien Nguyen, Akshat Kumar and Hoong Chuin Lau. Credit Assignment For Collective Multiagent RL With Global Rewards. In Proc. Neural Information Processing Systems (NIPS), Montreal, Canada, December 2018. [PDF]

A. Gunawan, H. C. Lau and P. Vansteenwegen. Well-Tuned Algorithms for the Team Orienteering Problem with Time Windows. Journal of Operational Research Society, 68(8), 861-876, 2017. DOI: 10.1057/s41274-017-0244-1

T. V. Le, R. Oentaryo, S. Liu and H. C. Lau. Local Gaussian Processes for Efficient Fine-Grained Traffic Speed Prediction. IEEE Transactions on Big Data, 3(2), 2017. DOI: 10.1109/TBDATA.2016.2620488

A. Gunawan, H. C. Lau and P. Vansteenwegen. Orienteering Problem: A Survey of Recent Variants, Solution Approaches and Applications. European Journal of Operational Research, 225:2, 315-332, 2016. [PDF] See Orienteering Library.

D. Handoko, H. C. Lau and S. F. Cheng. Achieving Economic and Environmental Sustainability in Urban Consolidation Center with Bi-Criteria Auction. IEEE Trans. Automation Science and Engineering, 13:4, 2016. [PDF]

T. Kandappu, A. Misra, S.F. Cheng, H. C. Lau, C. Chen, N. Jaiman, R. Tandriansyah, K. Dasgupta, and D. Chander. Campus-scale mobile crowd-tasking: Deployment and behavioral insights. In Proc. 19th ACM Conference on Computer-Supported Cooperative Work and Social Computing (CSCW-16), San Francisco, CA, USA, February 2016. [PDF]

L. Agussurja, H. C. Lau and S. F. Cheng. Achieving Stable and Fair Profit Allocation with Minimum Subsidy in Collaborative Logistics. In Proc. 30th AAAI Conference on Artificial Intelligence (AAAI-16), Phoenix, Arizona, USA, February, 2016. [PDF]

C. Chen, S. F. Cheng, H. C. Lau and A. Misra. Towards City-scale Mobile Crowdsourcing: Task Recommendations under Trajectory Uncertainties. In Proc. International Joint Conference on Artificial Intelligence (IJCAI-15), Buenos Aires, Argentina, July 2015. [PDF]

N. Fu, H. C. Lau and P. Varakantham. Robust Execution Strategies for Project Scheduling under Unreliable Resources and Stochastic Durations. Journal of Scheduling, 2015. [PDF]

R. Oentaryo, D. Handoko and H. C. Lau. Algorithm Selection via Ranking. In Proc. Twenty-Ninth AAAI Conference on Artificial Intelligence (AAAI-15), Austin, Texas, USA, January, 2015. [PDF]

S. Saisubramanian, P. Varakantham and H. C. Lau. Risk based Optimization for Improving Emergency Medical Systems. In Proc. Twenty-Ninth AAAI Conference on Artificial Intelligence (AAAI-15), Austin, Texas, USA, January, 2015. [PDF]

D. T. Nguyen, W. Yeoh, H. C. Lau, S. Zilberstein, and C. Zhang. Decentralized Multi-Agent Reinforcement Learning in Average-Reward Dynamic DCOPs. In Proc. Twenty-Eighth AAAI Conference on Artificial Intelligence (AAAI-14), Quebec City, Canada, July, 2014. [PDF]

H. C. Lau, Z. Yuan, and A. Gunawan. Patrol Scheduling in an Urban Rail Network. Annals of Operations Research. June 2014, 1-26. [PDF]

S. Hong, D. Zhang, H. C. Lau, and X. Zeng. A hybrid heuristic algorithm for the 2D variable-sized bin packing problem. European Journal of Operational Research, 238:1, 2014, 95-103. [PDF]

A. Gunawan and H. C. Lau. Master Physician Scheduling Problem. Journal of the Operational Research Society, 64 (3), 410-425, 2013. [PDF]

H. C. Lau, L. Agussurja, S. F. Cheng, P. J. Tan. A Multi-Objective Memetic Algorithm for Vehicle Resource Allocation in Sustainable Transportation Planning. In Proc. International Joint Conference on Artificial Intelligence (IJCAI), Beijing, China, August 2013. [PDF]

P. Varakantham, H. C. Lau, and Z. Yuan. Scalable Randomized Patrolling for Securing Rapid Transit Networks. In Proc. Twenty Fifth Annual Conference on Innovative Applications of Artificial Intelligence (IAAI) organized as part of AAAI-2013, Bellevue, Washington, USA, July 2013. [PDF]

Lindawati, H. C. Lau and D. Lo. Clustering of Search Trajectory and its Application to Parameter Tuning. Journal of the Operational Research Society, 64, 1742–1752, 2013. [PDF]

N. Fu, H. C. Lau, P. Varakantham, and F. Xiao. Robust Local Search for Solving RCPSP/max with Durational Uncertainty. Journal of Artificial Intelligence Research, 43-86. 2012. [PDF]

L. Agussurja and H. C. Lau. Toward Large-Scale Agent Guidance in an Urban Taxi Service. In Proc. Conference on Uncertainty in Artificial Intelligence (UAI), Catalina Island, USA, Aug 2012. [PDF]

D. T. Nguyen, W. Yeoh, and H. C. Lau. Stochastic Dominance in Stochastic DCOPs for Risk Sensitive Applications. In Proc. 11th International Conference on Autonomous Agents and Multiagent Systems (AAMAS), Valencia, Spain, June 2012. [PDF]

H. C. Lau, Z. Zhao, S. Ge, T. H. Lee. Allocating resources in multi-agent flowshops with adaptive auctions. IEEE Trans. Automation Science and Engineering, 8(4), 732-743, 2011. [PDF]

H. C. Lau, J. Pan, and H. Song. Periodic Resource Reallocation in Two-Echelon Repairable Item Inventory Systems, IEEE Trans. Automation Science and Engineering, 7:3, 474–485, 2010. [PDF]

A. Liang, X. Wu, H. C. Lau, Optimizing Service Systems based on Application-Level QoS. IEEE Trans. Service Computing, 2:2, 108-121, 2009. [PDF]

G. Feng and H. C. Lau. Efficient Algorithms for Machine Scheduling Problems with Earliness and Tardiness Penalties. Annals of Operations Research (Special Issue on Scheduling), 159, 83-95, 2008. [PDF]

H. C. Lau, T. Ou and F. Xiao. Robust Local Search and Its Application to Generating Robust Schedules. In Proc. International Conf. on Automated Planning and Scheduling (ICAPS), Rhode Island, USA, September, 2007. [PDF]

S. Halim, R. Yap and H. C. Lau. An Integrated White+Black Box Approach for Designing and Tuning Stochastic Local Search. In Proc. 13th International Conf. on Principles & Practice of Constraint Programming (CP), Rhode Island, USA, September, 2007. [PDF]

H. C. Lau, H. Song, C. T. See and S. Y. Cheng. Evaluation of Time-Varying Availability in Multi-Echelon Spare Parts Systems with Passivation, European J. Operational Research. 170:1, 2006, 91-105. [PDF]

H. C. Lau, T. Ou and M. Sim, Robust Temporal Constraint Networks. In Proc. 17th IEEE Conf. on Tools with Artificial Intelligence (ICTAI), 82-88, Hong Kong, November 2005. [PDF]

Y. Song and H. C. Lau, A Periodic-Review Inventory Model with Application to the Continuous-Review Obsolescence Problem, European J. Operational Research, 159:1, 2004, 110-120. [PDF]

H. C. Lau, K. M. Ng, and X. Wu. Transport Logistics Planning with Service-Level Constraints. In Proc. 19th National Conf. on Artificial Intelligence (AAAI), San Jose, USA, July 2004. 519-524. [PDF]

H. C. Lau, M. Sim and K. M. Teo, "Vehicle Routing Problem with Time Windows and a Limited Number of Vehicles", European J. Operational Research, 148:3, 2003, 559-569. [PDF]

H. C. Lau, H. Ono, and Q. Z. Liu. Integrating Local Search and Network Flow to Solve the Inventory Routing Problem. In Proc. 18th National Conf. on Artificial Intelligence (AAAI), 9-14, Edmonton, Canada, 2002. [PDF]

H. C. Lau, A New Approach for Weighted Constraint Satisfaction. Constraints Journal, 7:2, 2002, 150-165. [PDF]

H. C. Lau, Z. Liang, Pickup and Delivery Problem with Time Windows, Algorithms and Test Case Generation. Int. J. Artificial Intelligence Tools, 11:3, 2002, 455-472. [PDF]

H. C. Lau, Y. F. Lim, and Q. Z. Liu, Diversification of Search Neighborhood via Constraint-Based Local Search and Its Applications to VRPTW. In Proc. 3rd International Workshop on Integration of AI and OR Techniques (CP-AI-OR), 2001, Kent, UK. [PDF]

H. C. Lau, A. Lim, and Q. Z. Liu. Solving a Supply Chain Optimization Problem Collaboratively. In Proc. 17th National Conf. on Artificial Intelligence (AAAI), 780-785, Texas, USA, 2000. [PDF]

Teaching

Text Book:

S. Kimbrough and H. C. Lau. Business Analytics for Decision Making, CRC Press, 2016.

Courses Designed and Taught:

  1. Current Courses (at School of Information Systems, Singapore Management University):

  2. Undergraduate
    IS102: Computer as Analysis Tool. Sample Course outline

    IS103: Computational Thinking (within SMU network). Sample Course outline

    IS421: Enterprise Analytics for Decision Support (within SMU network). Sample Course outline

    Postgraduate
    CS602: Algorithm Design and Implementation (access within SMU network) Professional Master course

    CS606: AI Planning and Decision Making (access within SMU network) Professional Master course

    IS703: Decision Analytics and Optimization (access within SMU network). MSc and PhD course

    IS753: Advanced Topics in Intelligent Systems (access within SMU network). MSc and PhD course

  3. Previous Courses (at School of Computing, National University of Singapore):

  4. CS2103: Object-Oriented Software Design

    CS3230: Design and Analysis of Algorithms

    CS5234: Combinatorial Graph Algorithms

  5. Professional/Executive Short Courses:

  6. Applied Algorithmics (One such course has been conducted for PSA Corp)

  7. Coaching for Programming Competitions:

  8. ACM/IOI Programming Contest Training

    Super Computing Contest (SuperCon) at Tokyo Institute of Technology

Student Supervision:

  1. Current PhD and MSc Students:
    1. Tanvi Verma. Topic to be decided (PhD candidate, SIS, SMU)
    2. Abraham James. Topic to be decided (PhD candidate, SIS, SMU)
    3. Joe Waldy, Topic to be decided (PhD candidate, SIS, SMU)

  2. Past PhD and MSc students and their last known job appointments:

    PhD graduates
    1. Steven Halim Visualization of Local Search Trajectory (PhD, NUS) - Lecturer, School of Computing, NUS, Singapore
    2. Zhao Zhengyi Decentralized Job Scheduling via Combinatorial Auctions (PhD, NUS) - CTO for a startup company, China
    3. Park Jonghan, Relationship-Preserving Auctions (PhD, KAIST) - MD of technology startup company OLEV under Dongwan group, Korea
    4. Fu Na Robust Execution Strategies for Project Scheduling (PhD, SMU) - Post-doc, Living Analytics Research Centre, SMU, Singapore
    5. Lindawati Automated Tuning based on Local Search Trajectory Clustering (PhD, SMU) - Research Scientist, SAP, Singapore
    6. Kar Way Tan. Proactive Methods in Dynamic Queue Management in Hospital Emergency Departments (PhD, SMU) - Assistant Professor, School of Information Systems, SMU
    7. Chen Cen. Recommending Personalized Schedules in Urban Environments (PhD, SMU) - Ant Financial, Alibaba, China
    8. Le Truc Viet. An Integrated Framework for Modeling and Predicting Spatiotemporal Phenomena in Urban Environments (PhD, SMU) - SAP, Singapore
    9. Jiali Du. Proactive and Reactive Strategies to Handle Surges in Urban Crowds (PhD, SMU) - Booking.com, Netherlands
    10. Nguyen Duc Thien. Reinforcement Learning for Collective Multi-agent Decision Making (PhD, SMU) - IBM, Singapore
    11. Larry Lin. Modelling Movement Decisions in Networks: A Discrete Choice Model Approach (PhD, SMU) - Grab, Singapore

    MSc graduates
    1. Melvyn Sim. Over-constrained Vehicle Routing with Time Windows Part I (MSc, NUS) - Professor, NUS Business School (PhD, MIT)
    2. Teo Kwong Ming Over-constrained Vehicle Routing with Time Windows Part II (MSc, NUS) - Deputy Director, 顺丰速运 S.F. EXPRESS CO. LTD (PhD, MIT)
    3. Song Huawei Corrective Maintenance of Military Systems (MSc, NUS) - Financial Analyst, Royal Bank of Canada (PhD, Rensselaer Polytechnic Institute (USA))
    4. Wu Xiaotao Transport Planning with Service Constraints (MSc, NUS) - Microsoft, Shanghai, China
    5. Wang Hui Two Agent-Based Approaches for Solving Multi-Objective Optimization Problems (MSc, NUS) - Microsoft, Seattle, USA
    6. Li Jia Robust Controllability of Temporal Constraint Network Under Uncertainty (MSc, NUS) - Microsoft, Seattle, USA
    7. Ng Yong Jin Stolt Tank Containers: Best Route Solutions (MSc, NUS) - Stolt Tank Containers (Singapore)
    8. Que Youguang Transportation Management and Modeling of SembLog China Operations (MSc, NUS) - SembCorp Logistics (China)
    9. Soh Guan Li A Pickup and Delivery Problem in a Military Transportation Context (MSc, NUS) - Hewlett Packard (Singapore)
    10. Wan Wee Chong Meta-Heuristics Development Framework: Design and Applications (MSc, NUS) - IT startup company (Singapore)
    11. Feng Guang Algorithms for Scheduling Problems with Weighted Earliness/Tardiness Penalty (MSc, NUS) - ILOG (Singapore)
    12. Thomas Ou Robust Meta-Heuristics Framework (MSc, NUS) - Schlumberger (Singapore)
    13. Sankaran Sri Nivas Transportation Planning and Modeling of SembLog India Operations (MSc, NUS) - SembCorp Logistics (India)
    14. Lim Min Kwang Ant-Colony Meta-Heuristics: Schemes and Software Framework (MSc, NUS) - Datacraft Asia (Singapore)
    15. Liow Loong Fong. Niche Seeking Strategies for 2-player Influence Maximization (MSc, SMU) - Infocomm Development Authority (Singapore)
    16. Nguyen Duc Thien. Fair Cost Sharing Auction Mechanisms in Last Mile Ridesharing (MSc, SMU) - PhD candidate, SIS.
    17. Cheng Yew Yih. Bid Price Markup Model for Last-Mile Delivery Auctions (MSc, SMU) - Systems Consultant (Singapore)

  3. Undergraduate Independent Research: Some undergraduate projects I supervised have won prestigious awards, e.g.:

    1. Health-Care A&E Priority Queuing (by Wang Chao) – paper published in IEEE Conf. Automation Science and Engineering (CASE), 2012.
    2. Multi-Dimensional Knapsack Problem (by Trung Tuan Dung) won the MOE SRP VIP award and Singapore Science and Engineering Fair Gold Medal, 2005.
    3. Task Allocation via Coalition Formation in Multi-Agent Systems (by Zhang Lei) won the 2002 NITA Competition Best Student Award.
    4. Intelligent Fourth-Party Logistics (by Gary Lo) won a Merit Award in the SingAREN-Sttarfire-iPlanet Advanced e-Business Applications Competition 2001.
    5. Over-Constrained Vehicle Routing Problems (by Melvyn Sim and Teo Kwong Meng) won the Singapore-MIT Alliance (SMA) Best Student Project, 2000.
    Most of my conference and journal papers are results of student projects.

    If you are interested in MSc and PhD topics, please refer to my Research page for further details.

My Teaching Philosophy:

  • An effective teacher must have an innate desire for knowledge and a natural tendency to apply the knowledge in creative and beneficial ways. If the teacher can fulfill this desire by making the material relevant and within reach, then learning ceases to be a chore and becomes a personal desire.
  • An effective teacher must provide a learning ethos that minimizes the opportunity for distraction and laziness. Through a balanced reward and penalty scheme, the teacher can provide the most compelling environment for true learning to take place.
  • An effective teacher must also be constantly abreast in his subject. This comes from disciplined study of the subject as well as creative activity in the subject area. Research is one avenue for this creative activity. Research stimulates the teacher to view his subject from many angles and also compels him to understand the limitations of the current level of knowledge.
  • Despite the best intentions and methods, an effective teacher cannot teach without students who are willing and able. Students must have some capability in the subject area, and the teacher can play an important role in encouraging them to discover their capabilities.

Publications

My publications are listed in reverse chronological order below.

They are categorized into research topics in this page.

Highlights of my publications are downloadable from my Research page. Majority of my publications can be downloaded from the SMU Institutional Knowledge portal; papers published before 2007 can be directly downloaded from this page (below).

If you need any of the other papers, please don’t hesitate to email me at hclau@smu.edu.sg.

2019

Duc Thien Nguyen, William Yeoh, Hoong Chuin Lau and Rowie Zivan. Distributed Gibbs: A Linear-Space Sampling-Based DCOP Algorithm. To appear in Journal of Artificial Intelligence Research, 2019.

Lucas Agussurja, Shih-Fen Cheng and Hoong Chuin Lau. State Aggregation Approach for Stochastic Multi-Period Last-Mile Ride-Sharing Problem. To appear in Transportation Science, 2019. https://doi.org/10.1287/trsc.2018.0840

Qu Wei, Zhaoxia Guo, Hoong Chuin Lau, Zhenggang He. An artificial bee colony-based hybrid approach for waste collection problem with midway disposal pattern. Applied Soft Computing, Vol 76, 629-637, 2019.

Misir Mustafa and Hoong Chuin Lau. Towards Personalized Data-driven Bundle Design with QoS Constraint. In Moscato, Pablo, de Vries, Natalie J. (Eds.), Business and Consumer Analytics: New Ideas. Springer, 2019. To appear.

Arambam Singh, Duc Thien Nguyen, Akshat Kumar and Hoong Chuin Lau. Multiagent Decision Making For Maritime Traffic Management. In Proc. AAAI Conference on Artificial Intelligence (AAAI), Hawaii, USA, January 2019.

Tanvi Verma, Pradeep Varakantham. Maximum Entropy based Independent Learning in Anonymous Multi-Agent Settings. In Proc. International Conference on Automated Planning and Scheduling (ICAPS), Berkeley, CA, USA, July 2019.

Baoxiang Li, Shashi Jha, Hoong Chuin Lau. Route Planning for a Fleet of Electric Vehicles with Waiting Times at Charging Stations. In Proc. 19th European Conference on Evolutionary Computation in Combinatorial Optimization (EvoCOP), Leipzig, Germany, April 2019.

Aldy Gunawan, Hoong Chuin Lau, Kien Ming Ng, Gordy Adiprasetyo, Vincent F. Yu. The Capacitated Team Orienteering Problem. In Proc. Int’l Conf. Industrial Engineering and Operations Management (IEOM), Bangkok, Thailand, March 2019.

2018

Aldy Gunawan, Hoong Chuin Lau and Kun Lu. ADOPT: Combining Parameter Tuning and Adaptive Operator Ordering for Solving a Class of Orienteering Problems. Computers and Industrial Engineering, 121, 82-96, 2018. https://doi.org/10.1016/j.cie.2018.05.016

Duc Thien Nguyen, Akshat Kumar and Hoong Chuin Lau. Credit Assignment For Collective Multiagent RL With Global Rewards. In Proc. Neural Information Processing Systems (NIPS), Montreal, Canada, December 2018.

Ketki Kulkarni, Hoong Chuin Lau, Hai Wang, Sathyavarathan Sivabalasingam and Trong Khiem Tran. Design and Implementation of Decision Support for Traffic Management at Multipurpose Port Gates. In Proc. Winter Simulation Conference (WSC), Gothenburg, Sweden, December 2018.

Pallavi Manohar, Pradeep Varakantham and Hoong Chuin Lau. Bounded Rank Optimization for Effective and Efficient Emergency Response. In Proc. International Conference on Automated Planning and Scheduling (ICAPS), Delft, Netherlands, June 2018.

Teck-Hou Teng, Hoong Chuin Lau and Aldy Gunawan. Initializing Evolutionary Search using Self-Organizing Neural Network. In Proc 12th Learning and Intelligent OptimizatioN Conference (LION), Kalamata, Greece, June 2018.

Thivya Kandappu, Archan Misra, Shih-Fen Cheng, Randy Tandriansyah, and Hoong Chuin Lau. Obfuscation At-Source: Privacy in Context-Aware Mobile Crowd-Sourcing. In Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT), 2(1), March 2018.

Lucas Agussurja, Akshat Kumar and Hoong Chuin Lau. Resource-Constrained Scheduling for Maritime Traffic Management. In Proc. Thirty-Second AAAI Conference on Artificial Intelligence (AAAI), New Orleans, USA, February 2018.

2017

Aldy Gunawan, Hoong Chuin Lau and Pieter Vansteenwegen. Well-Tuned Algorithms for the Team Orienteering Problem with Time Windows. Journal of Operational Research Society, 68(8), 861-876, 2017.

Truc Viet Le, Richard Oentaryo, Siyuan Liu and Hoong Chuin Lau. Local Gaussian Processes for Efficient Fine-Grained Traffic Speed Prediction. IEEE Transactions on Big Data, 3(2), 2017.

Pradeep Varakantham, Akshat Kumar, Hoong Chuin Lau and William Yeoh. Risk-Sensitive Stochastic Orienteering Problems for Trip Optimization in Urban Environments. ACM Transactions on Intelligent Systems and Technology, 9(3), November 2017.

Shih-fen Cheng, Cen Chen, Thivya Kandappu, Hoong Chuin Lau, Archan Misra, Nikita Jaiman, Randy Tandriansyah, Desmond Koh. Scalable Urban Mobile Crowdsourcing: Handling Uncertainty in Worker Movement. ACM Transactions on Intelligent Systems and Technology, 9(3), November 2017.

Duc Thien Nguyen, Akshat Kumar and Hoong Chuin Lau. Collective Multiagent Sequential Decision Making Under Uncertainty. In Proc. AAAI Conference on Artificial Intelligence (AAAI), San Francisco, USA, February 2017.

Cen Chen, Zachary Rubinstein, Stephen Smith and Hoong Chuin Lau. Achieving Near-optimal Solutions for Large-scale Home Health Care Scheduling Problem. In Proc. AAAI-17 Workshop on AI and OR for Social Good, San Francisco, USA, February 2017.

Teck Hou Teng, Hoong Chuin Lau and Akshat Kumar. Prescribing Routes to Improve Safety and Efficiency of Vessel Traffic. In Proc. 5th International Port-Maritime Technology Conference, Singapore, April 2017.

Teck Hou Teng, Hoong Chuin Lau and Akshat Kumar. Coordinating vessel traffic to improve safety and efficiency. In Proc. 16th International Conference on Autonomous Agents and Multiagent Systems(AAMAS), Sao Paolo, Brazil, May 2017.

Teck Hou Teng, Hoong Chuin Lau and Akshat Kumar. A Multi-Agent System for Coordinating Vessel Traffic. Demo Abstract in International Conference on Autonomous Agents and Multiagent Systems (AAMAS), Sao Paolo, Brazil, May 2017.

Cen Chen, Zachary Rubinstein, Stephen Smith and Hoong Chuin Lau. Tackling Large-scale Home Health Care Delivery Problem with Uncertainty. In Proc. International Conference on Automated Planning and Scheduling (ICAPS), Pittsburgh, USA, June 2017.

Tanvi Verma, Pradeep Varakantham, Sarit Kraus and Hoong Chuin Lau. Augmenting Decisions of Taxi Drivers through Reinforcement Learning for Improving Revenues. In Proc. International Conference on Automated Planning and Scheduling (ICAPS), Pittsburgh, USA, June 2017.

Hoong Chuin Lau, Mustafa Misir, Xiang Li and Lingxiao Jiang. ADVISER+: Toward a Usable Web-based Algorithm Portfolio Deviser. In Proc. Metaheuristics International Conference (MIC), Barcelona, Spain, July 2017.

Baoxiang Li and Hoong Chuin Lau. Combinatorial Auction for Transportation Matching Service: Formulation and Adaptive Large Neighborhood Search Heuristic. In Lecture Notes in Computer Science #10572: Proc. International Conference on Computational Logistics (ICCL) Southampton, UK, October 2017.

Akihito Sudo, Tech-Hou Teng, Hoong Chuin Lau, Yoshihide Sekimoto. Predicting Indoor Crowd Density using Column-Structured Deep Neural Network. In Proc. 1st Int’l Workshop on Prediction of Human Mobility at ACM SIGSPATIAL Int’l Conf. on Advances in Geographic Information Systems, USA, November 2017.

Duc Thien Nguyen, Akshat Kumar and Hoong Chuin Lau. Policy Gradient With Value Function Approximation for Collective Multiagent Planning. In Proc. Neural Information Processing Systems (NIPS), Long Beach, USA, December 2017.

Ketki Kulkarni, Trong Khiem Tran, Hai Wang and Hoong Chuin Lau. Efficient Lane Management at Port Gate Using Simulation-Optimization. In Proc. Winter Simulation Conference (WSC), Las Vegas, Nevada, USA, December 2017.

Jonathan Chase, Jiali Du, Na Fu, Truc Viet Le and Hoong Chuin Lau. Law Enforcement Resource Optimization with Response Time Guarantees. In Proc. IEEE Symp Series on Computational Intelligence (SSCI), Honolulu, USA, December 2017.

Wenjie Wang, Hoong Chuin Lau and Shih-Fen Cheng. Exact and Heuristic Approaches for the Multi-Agent Orienteering Problem with Capacity Constraints. In Proc. IEEE Symp Series on Computational Intelligence (SSCI), Honolulu, USA, December 2017.

Aldy Gunawan, Hoong Chuin Lau, Kun Lu. Home Health Care Delivery Problem. In Proc. Multidisciplinary International Scheduling Conference (MISTA), Kuala Lumpur, Malaysia, December 2017.

Aldy Gunawan, Vincent Yu, Perwira Redi, Parida Jewpanya and Hoong Chuin Lau. A Selective-Discrete Particle Swarm Optimization Algorithm for Solving a Class of Orienteering Problems. In Proc. Multidisciplinary International Scheduling Conference (MISTA), Kuala Lumpur, Malaysia, December 2017.

2016

A. Gunawan, H. C. Lau and P. Vansteenwegen. Orienteering Problem: A Survey of Recent Variants, Solution Approaches and Applications. European Journal of Operational Research, 225:2, 315-332, 2016.

D. Handoko, H. C. Lau and S. F. Cheng. Achieving Economic and Environmental Sustainability in Urban Consolidation Center with Bi-criteria Auction. IEEE Trans. Automation Science and Engineering, 13:4, 2016.

Hala Mostafa, Akshat Kumar, Hoong Chuin Lau. Simultaneous Optimization and Sampling Of Agent Trajectories Over A Network. In AAMAS-2016 Workshops Most Visionary Papers. Lecture Notes in Artificial Intelligence, Springer-Verlag, 2016. To appear.

L. Agussurja, H. C. Lau and S. F. Cheng. Achieving Stable and Fair Profit Allocation with Minimum Subsidy in Collaborative Logistics. In Proc. 30th AAAI Conference on Artificial Intelligence (AAAI), Phoenix, Arizona, USA, February, 2016.

P. Varakantham, N. Fu and H. C. Lau. A Proactive Sampling Approach to Project Scheduling under Uncertainty. In Proc. 30th AAAI Conference on Artificial Intelligence (AAAI), Phoenix, Arizona, USA, February, 2016.

T. Kandappu, A. Misra, S.F. Cheng, H. C. Lau, C. Chen, N. Jaiman, R. Tandriansyah, K. Dasgupta, and D. Chander. Campus-scale mobile crowd-tasking: Deployment and behavioral insights. In Proc. 19th ACM Conference on Computer-Supported Cooperative Work and Social Computing (CSCW), San Francisco, CA, USA, February 2016. (Honorable Mention)

D. T. Nguyen, A. Kumar and H. C. Lau. Approximate Inference Using DC Programming For Collective Graphical Models. In Proc. 19th International Conf. on AI and Statistics (AISTATS), Cadiz, Spain, May 2016.

T. Le, S. Liu, H. C. Lau. Reinforcement Learning Framework for Modeling Spatial Sequential Decisions under Uncertainty (Extended abstract). In Proc. 15th International Conference on Autonomous Agents and Multiagent Systems (AAMAS), Singapore, May 2016.

H. C. Lau, A. Gunawan, P. Varakantham, W. Wang. PRESS: PeRsonalized Event Scheduling recommender System (Demo paper). In Proc. 15th International Conference on Autonomous Agents and Multiagent Systems (AAMAS), Singapore, May 2016.

N. Fu, P. Varakantham, H. C. Lau. Robust Partial Order Schedules for RCPSP/max with Durational Uncertainty. In Proc. International Conf. on Automated Planning and Scheduling (ICAPS), London, UK, June 2016.

Teck-Hou Teng, Stephanus Daniel Handoko and Hoong Chuin Lau. Self-Organizing Neural Network for Adaptive Operator Selection in Evolutionary Search. In Proc 10th Learning and Intelligent OptimizatioN Conference (LION), Naples, Italy, June 2016.

Aldy Gunawan, Hoong Chuin Lau and Misir Mustafa. Designing and comparing multiple portfolios of parameter configurations for online algorithm selection. In Proc 10th Learning and Intelligent OptimizatioN Conference (LION), Naples, Italy, June 2016.

Truc Viet Le, Siyuan Liu, Hoong Chuin Lau. A Reinforcement Learning Framework for Trajectory Prediction under Uncertainty and Budget Constraint. In Proc. European Conference on Artificial Intelligence (ECAI), The Hague, August, 2016.

A. Gunawan, H. C. Lau, P. Varakantham, W. Wang. An Intelligent System for Personalized Conference Event Recommendation and Scheduling. In Proc. Prestigious Applications of Intelligent Systems, colocated with European Conference on Artificial Intelligence (ECAI PAIS), The Hague, August, 2016.

A. Gunawan, H. C. Lau, K. Lu. A Fast Algorithm for Personalized Travel Planning Recommendation. In Proc. International Conf. on Practice and Theory of Automated Timetabling (PATAT), Italy, August 2016.

A. Gunawan, H. C. Lau, K. Lu. Enhancing Local Search with Adaptive Operator Ordering and Its Application to the Time Dependent Orienteering Problem. In Proc. International Conf. on Practice and Theory of Automated Timetabling (PATAT), Italy, August 2016.

T. Kandappu, A. Misra, S.F. Cheng, H. C. Lau, C. Chen, N. Jaiman, R. Tandriansyah, K. Dasgupta, TASKer: Behavioral Insights via Campus-based Experimental Mobile Crowd-sourcing. In Proc. 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp), Heidelberg, Germany, September 2016.

Teck-Hou Teng, Shih-Fen Cheng, Trong-Nghia Truong, Hoong Chuin Lau. Managing Egress of Crowd during Infrastructure Disruption. In Proc. Winter Simulation Conference (WSC), Washington D. C., December 2016.

2015

N. Fu, H. C. Lau and P. Varakantham. Robust Execution Strategies for Project Scheduling under Unreliable Resources and Stochastic Durations. Journal of Scheduling, 18:6, 607-622, 2015.

R. Oentaryo, D. Handoko and H. C. Lau. Algorithm Selection via Ranking. In Proc. Twenty-Ninth AAAI Conference on Artificial Intelligence (AAAI), Austin, Texas, USA, January, 2015.

S. Saisubramanian, P. Varakantham and H. C. Lau. Risk based Optimization for Improving Emergency Medical Systems. In Proc. Twenty-Ninth AAAI Conference on Artificial Intelligence (AAAI), Austin, Texas, USA, January, 2015.

A. Gunawan, H. C. Lau and M. Misir. Designing a portfolio of parameter configurations for online algorithm selection. In AAAI 2015 Workshop on Algorithm Configuration (WAC), Austin, Texas, USA, January 2015.

C. Chen, S. F. Cheng, H. C. Lau and A. Misra. Towards City-scale Mobile Crowdsourcing: Task Recommendations under Trajectory Uncertainties. In Proc. International Joint Conference on Artificial Intelligence (IJCAI), Buenos Aires, Argentina, July 2015.

M. Misir, D. Handoko and H. C. Lau. OSCAR: Online Selection of Algorithm Portfolios with Case Study on Memetic Algorithms. In Proc 9th Learning and Intelligent OptimizatioN Conference (LION) (LNCS volume 8994), Lille, France, January 2015. (Best Paper Award Runner Up)

M. Misir, D. Handoko and H. C. Lau. ADVISER: A Web-based Algorithm Portfolio Deviser. In Proc 9th Learning and Intelligent OptimizatioN Conference (LION) (LNCS volume 8994), Lille, France, January 2015.

P. Varakantham, H. Mostafa, N. Fu and H. C. Lau. DIRECT: A Scalable Approach for Route Guidance in Selfish Orienteering Problems. In Proc. 14th International Conference on Autonomous Agents and Multiagent Systems (AAMAS), Istanbul, Turkey, May 2015.

T. V. Le, S. Y. Liu, H. C. Lau and R. Krishnan. Predicting Bundles of Spatial Locations from Learning Revealed Preference Data. In Proc. 14th International Conference on Autonomous Agents and Multiagent Systems (AAMAS), Istanbul, Turkey, May 2015.

C. Chen, S. F. Cheng, H. C. Lau and A. Misra. Coordinating Mobile Crowdworkers with Stochastic Routine Routes (extended abstract). In Proc. 14th International Conference on Autonomous Agents and Multiagent Systems (AAMAS), Istanbul, Turkey, May 2015.

D. Handoko et al. Solving Multi-Vehicle Profitable Tour Problem via Knowledge Adoption in Evolutionary Bi-level Programming. In Proc. IEEE International Congress on Evolutionary Computation (CEC), Sendai, Japan, May 2015.

A. Gunawan, H. C. Lau, K. Lu. An Iterated Local Search Algorithm for Solving the Orienteering Problem with Time Windows. In Proc. 15th European Conference on Evolutionary Computation in Combinatorial Optimisation (EvoCOP) (LNCS volume 9026), Copenhagen, Denmark, April 2015.

A. Gunawan, H. C. Lau, K. Lu. SA-ILS: Hybrid Algorithm for the Team Orienteering Problem with Time Windows. In Proc. Multidisciplinary International Scheduling Conference (MISTA), Prague, Czech Republic, Aug 2015.

R.de Souza, H. C. Lau, M. Goh, W. S. Ng, P.S. Tan and Lindawati. Retail Precinct Management: A Case of Commercial Decentralization in Singapore. In Proc. 9th International Conference on City Logistics, Tenerife, Spain, June 2015. Transportation Research Procedia, Volume 12, 765-776, 2016. DOI 10.1016/j.trpro.2016.02.030.

Stephanus Daniel Handoko and Hoong Chuin Lau. Enabling Carrier Collaboration via Order Sharing Double Auction: A Singapore Urban Logistics Perspective. In Proc. 9th International Conference on City Logistics, Tenerife, Spain, June 2015. Transportation Research Procedia, Volume 12, 777-786, 2016.DOI 10.1016/j.trpro.2016.02.031.

D. Handoko and H. C. Lau. Efficient Order Sharing with Privacy Preservation via Double Auction with Split Delivery. In Proc. IEEE Conf. Automation Science and Engineering (CASE), Gothenburg, Sweden, Aug 2015.

D. T. Nguyen, H. C. Lau, A. Kumar. Decomposition Techniques for Urban Consolidation Problems. In Proc. IEEE Conf. Automation Science and Engineering (CASE), Gothenburg, Sweden, Aug 2015.

C. Wang, H. C. Lau and Y. F. Lim. An Auction with a Rolling Horizon and Virtual Pricing of Shipping Capacity for Urban Consolidation Centers. In Proc. 6th International Conference on Computational Logistics (ICCL) (LNCS volume 9335), Delft, The Netherlands, September 2015.

J. Du, S. F. Cheng and H. C. Lau. Designing Bus Bridging Services for Regular Egress. In Proc. 6th International Conference on Computational Logistics (ICCL) (LNCS volume 9335), Delft, The Netherlands, September 2015.

J. J. Lin, S. F. Cheng and H. C. Lau. Building Crowd Simulations Using Sample-based Mobiltiy Survey. In Proc. Winter Simulation Conference (WSC), Huntingon Beach, CA, December 2015.

Q. Li and H. C. Lau. A Layered Hidden Markov Model for Predicting Human Trajectories in a Multi-floor Building. In Proc. IEEE/WIC/ACM International Conference on Intelligent Agent Technology (IAT), Singapore, December 2015.

2014

H. C. Lau, Z. Yuan, and A. Gunawan. Patrol Scheduling in an Urban Rail Network. Annals of Operations Research, 239:1, 2016, 317-342.(DOI 10.1007/s10479-014-1648-9)

S. Hong, D. Zhang, H. C. Lau, and X. Zeng. A hybrid heuristic algorithm for the 2D variable-sized bin packing problem. European Journal of Operational Research, 238:1, 2014, 95-103.

C. Chen, S. F. Cheng, and H. C. Lau. Multi-Agent Orienteering Problem. Web Intelligence and Agent Systems Journal, 12:4, 2014, 347-358.

Z. Yuan, D. Handoko, D. T. Nguyen and H. C. Lau. An Empirical Study of Off-line Configuration and On-line Adaptation in Operator Selection. In Proc 8th Learning and Intelligent OptimizatioN Conference (LION) (LNCS Volume 8426), Gainesville, Florida, USA January 2014.

D. T. Nguyen, W. Yeoh, H. C. Lau, S. Zilberstein and C. Zhang. Decentralized Multi-Agent Reinforcement Learning in Average-Reward Dynamic DCOPs (Extended Abstract). In Proc. 13th International Conference on Autonomous Agents and Multiagent Systems (AAMAS), Paris, France, May 2014.

T. V. Le, S. Liu, H. C. Lau, and R. Krishnan. A Quantitative Analysis of Decision Process in Social Groups Using Human Trajectories (Extended Abstract). In Proc. 13th International Conference on Autonomous Agents and Multiagent Systems (AAMAS), Paris, France, May 2014.

S. F. Cheng, Duc Thien Nguyen, and H. C. Lau. Mechanisms for Arranging Ride Sharing and Cost Splitting for Last-Mile Travel Demands (Extended Abstract). In Proc. 13th International Conference on Autonomous Agents and Multiagent Systems (AAMAS), Paris, France, May 2014.

D. Handoko, H. C. Lau and M. Misir. Building Algorithm Portfolios for Memetic Algorithms (Extended Abstract). In Proc. Genetic and Evolutionary Computation Conference (GECCO), Vancouver, Canada, July 2014.

D. Handoko, D. T. Nguyen, Z. Yuan, and H. C. Lau. Reinforcement Learning for Adaptive Operator Selection in Memetic Search Applied to Quadratic Assignment Problem (Extended Abstract). In Proc. Genetic and Evolutionary Computation Conference (GECCO), Vancouver, Canada, July 2014.

D. T. Nguyen, W. Yeoh, H. C. Lau, S. Zilberstein, and C. Zhang. Decentralized Multi-Agent Reinforcement Learning in Average-Reward Dynamic DCOPs. In Proc. Twenty-Eighth AAAI Conference on Artificial Intelligence (AAAI-14), Quebec City, Canada, July, 2014.

D. Handoko, D. T. Nguyen and H. C. Lau. An Auction Mechanism for the Last-Mile Deliveries Via Urban Consolidation Centre. In Proc. IEEE Conf. on Automation Science and Engineering (CASE), Taipei, Taiwan, Aug 2014.

A. Gunawan, K. M. Ng, K. L. Poh and H. C. Lau. Hybrid Metaheuristics for Solving the Quadratic Assignment Problem and the Generalized Quadratic Assignment Problem. In Proc. IEEE Conf. on Automation Science and Engineering (CASE), Taipei, Taiwan, Aug 2014.

A. Gunawan, Z. Yuan and H. C. Lau. A Mathematical Model and Metaheuristics for Time Dependent Orienteering Problem. In Proc. International Conf. on Practice and Theory of Automated Timetabling (PATAT), York, United Kingdom, August 2014.

M. Misir and H. C. Lau. Diversity-Oriented Bi-Objective Hyper-heuristics for Patrol Scheduling. In Proc. International Conf. on Practice and Theory of Automated Timetabling (PATAT), York, United Kingdom, August 2014.

C. Wang, D. Handoko and H. C. Lau. An Auction Mechanism with Rolling Horizon for Urban Consolidation Centre. In Proc. IEEE International Conference on Service Operations, Logistics and Informatics(SOLI), Qingdao, China, October 2014.

A. Gunawan and H. C. Lau. Second Order-Response Surface Model for the Automated Parameter Tuning Problem. In Proc. IEEE International Conference on Industrial Engineering and Engineering Management (IEEM), Malaysia, December 2014.

2013

Lindawati, H. C. Lau and D. Lo. Clustering of Search Trajectory and its Application to Parameter Tuning. Journal of the Operational Research Society, 64, 1742–1752, 2013.

A. Gunawan and H. C. Lau. Master Physician Scheduling Problem. Journal of the Operational Research Society, 64 (3), 410-425, 2013.

A. Gunawan, H. C. Lau and E. Wong. Real-World Parameter Tuning using Factorial Design with Parameter Decomposition. In Gaspero et al. (eds) Advances in Metaheuristics (MIC 2011 post-conference volume). Springer Operations Research / Computer Science Interfaces Book Series, 37-59, 2013.

Lindawati, Z. Yuan, H. C. Lau and F. Zhu. Automated Parameter Tuning Framework for Heterogeneous and Large Instances: Case study in Quadratic Assignment Problem. In Proc 7th Learning and Intelligent OptimizatioN Conference (LION) (LNCS volume 7997), Catania, Italy, January 2013.

D. T. Nguyen, W. Yeoh, and H. C. Lau. Distributed Gibbs: A Memory-Bounded Sampling-based DCOP Algorithm. In Proc. 12th International Conference on Autonomous Agents and Multiagent Systems (AAMAS), St Paul, Minnesota, USA, May 2013.

S.-F. Cheng, L. Lin, J. Du, H. C. Lau, and P. Varakantham. An agent-based approach to dynamic experience management in theme parks. In Proc. 14th International Workshop on Multi-Agent-Based Simulation (MABS) organized in conjunction with AAMAS (International Conference on Autonomous Agents and Multiagent Systems). St Paul, Minnesota, USA, May 2013.

D. Konidala, R. Deng, Y. Li, H. C. Lau, S. Fienberg: Anonymous Authentication of Visitors for Mobile Crowd Sensing at Amusement Parks. In Proc. 9th Information Security Practice and Experience Conference (ISPEC) (LNCS volume 7863), Lanzhou, China, May 2013.

P. Varakantham, H.C. Lau, and Z. Yuan. Scalable Randomized Patrolling for Securing Rapid Transit Networks. In Proc. Twenty Fifth Annual Conference on Innovative Applications of Artificial Intelligence (IAAI) organized in conjunction with AAAI-2013, Bellevue, Washington, USA, July 2013.

Z. Yuan, M. Birattari, T. Stuetzle and H. C. Lau. An Analysis of Post-Selection in Automatic Tuning. In Proc. Genetic and Evolutionary Computation Conference (GECCO), Amsterdam, Netherlands, July 2013.

H. C. Lau, L. Agussurja, S. F. Cheng, P. J. Tan. A Multi-Objective Memetic Algorithm for Vehicle Resource Allocation in Sustainable Transportation Planning. In Proc. International Joint Conference on Artificial Intelligence (IJCAI), Beijing, China, August 2013.

A. Aravamudhan, A. Misra and H. C. Lau. “Network-Theoretic” Queuing Delay Estimation in Theme Park Attractions. In Proc. IEEE Conf. on Automation Science and Engineering (CASE), Madison, Wisconsin, USA, Aug 2013.

K. W. Tan, W. H. Tan and H. C. Lau. Improving patient length-of-stay in emergency department through dynamic resource allocation policies. In Proc. IEEE Conf. on Automation Science and Engineering (CASE), Madison, Wisconsin, USA, Aug 2013.

H. Nguyen, P. Varankantham, H. C. Lau and S. F. Cheng. Heuristics for Generalized Knapsack with Application to Theme Park Revenue Management. In Proc. 10th Metaheuristics International Conf. (MIC), Singapore, Aug 2013.

Chen Cen, S. F. Cheng, and H. C. Lau. Multi-Agent Orienteering Problem. In Proc. 10th Metaheuristics International Conf. (MIC), Singapore, Aug 2013.

Lindawati, H. C. Lau and F. Zhu. FloTra: Flower-shape Trajectory Mining for Instance-specific Parameter Tuning. In Proc. 10th Metaheuristics International Conf. (MIC), Singapore, Aug 2013.

R. de Souza, M. Goh, H.C. Lau, W. S. Ng & P. S. Tan. Collaborative Urban Logistics – synchronizing the last mile a Singapore research perspective. In Proc. International Conference on City Logistics, Bali, Indonesia, 2013.

H. C. Lau and T. A. Hoang. Risk Minimization of Disjunctive Temporal Problem with Uncertainty. In Proc. Fifth International Conference on Knowledge and Systems Engineering (KSE) (Springer Series on Advances in Intelligent and Soft Computing), Hanoi, October 2013.

P. Varakantham, N. Fu, W. Yeoh, S. F. Cheng and H. C. Lau. Budgeted Personalized Incentive Approaches for Smoothing Out Congestion in Resource Networks. In Proc. Third International Conf. on Algorithmic Decision Theory (ADT) (LNAI volume 8176), Brussels, Belgium, November, 2013.

S. F. Cheng, L. Lin, J. Du, H. C. Lau, and P. Varakantham. An Agent-Based Simulation Approach to Experience Management in Theme Parks. In Proc. Winter Simulation Conference (WSC), Washington D.C., December 2013.

K. W. Tan, H. C. Lau and F. Lee. Improving patient length-of-stay in emergency department through dynamic queue management. In Proc. Winter Simulation Conference (WSC), Washington D.C., December 2013.

2012

N. Fu, H. C. Lau, P. Varakantham, and F. Xiao. Robust Local Search for Solving RCPSP/max with Durational Uncertainty. Journal of Artificial Intelligence Research, 43, 43-86. 2012.

S. F. Cheng, J. Tajan, H. C. Lau. Robust distributed scheduling via time period aggregation, Web Intelligence and Agent Systems, 10(3): 305-318, 2012.

D. T. Nguyen, W. Yeoh, and H. C. Lau. Stochastic Dominance in Stochastic DCOPs for Risk Sensitive Applications. In Proc. 11th International Conference on Autonomous Agents and Multiagent Systems (AAMAS), Valencia, Spain, June 2012.

G. Gordon, P. Varakantham, W. Yeoh, A. Srinivasan, H. C. Lau, and S. F. Cheng. Lagrangian Relaxation for Large-Scale Multi-agent Planning. In Proc. 11th International Conference on Autonomous Agents and Multi-Agent Systems, Valencia, Spain, June 2012.

H. C. Lau, Z. Li, X. Du and H. Jiang. Logistics Orchestration Modeling and Evaluation for Humanitarian Relief. In Proc. IEEE International Conference on Service Operations and Logistics, and Informatics (SOLI), Suzhou, China, July 2012.

L. Agussurja and H. C. Lau. Toward Large-Scale Agent Guidance in an Urban Taxi Service. In Proc. Conference on Uncertainty in Artificial Intelligence (UAI), Catalina Island, USA, August 2012.

H. C. Lau, W. Yeoh, P. Varakantham, D. T. Nguyen, and H. Chen. Dynamic Stochastic Orienteering Problems for Risk-Aware Applications. In Proc. Conference on Uncertainty in Artificial Intelligence (UAI), Catalina Island, USA, August 2012.

H. C. Lau and A. Gunawan. The Patrol Scheduling Problem. In Proc. International Conf. on Practice and Theory of Automated Timetabling (PATAT), Son, Norway, August 2012.

K. W. Tan, C. Wang and H. C. Lau. Improving patient flow in emergency department through dynamic priority queue. In Proc. IEEE International Conference on Automation Science and Engineering (CASE), Seoul, Korea, August 2012.

L. F. Liow, S. F. Cheng and H. C. Lau. Niche-Seeking in Influence Maximization with Adversary. In Proc. International Conference on Electronic Commerce (ICEC), Singapore, August 2012.

J. H. Park, J. K. Lee, and H. C. Lau. Bidders Behaviors in the Repeated B2B Procurement Auctions. In Proc. International Conference on Electronic Commerce (ICEC), Singapore, August 2012.

Lindawati, H. C. Lau and F. Zhu. Instance-specific Parameter Tuning via Constraint-based Clustering. In Proc. ECAI 2012 Workshop on Combining Constraint Solving with Mining and Learning (Cocomile), p. 29-34, August 2012.

S. F. Cheng, D. T. Nguyen and H. C. Lau. A mechanism for organizing last-mile service using non-dedicated fleet. In Proc. IEEE/WIC/ACM International Conference on Intelligent Agent Technology (IAT), Macau, December 2012.

G. Gordon, P. Varakantham, W. Yeoh, A. Srinivasa, H.C. Lau, S. F. Cheng. Lagrangian Relaxation for Large-Scale Multi-Agent Planning. In Proc. IEEE/WIC/ACM International Conference on Intelligent Agent Technology (IAT), Macau, December 2012.

2011

H. C. Lau, Z. Zhao, S. Ge, T. H. Lee. Allocating resources in multi-agent flowshops with adaptive auctions. IEEE Trans. Automation Science and Engineering, 8(4), 732-743, 2011.

K. W. Tan, N. Fu and H. C. Lau. Improving service through Just-in-Time concept in a dynamic operational environment. In Proc. Hawaii International Conf. on System Sciences (HICSS), Decision Technology, Mobile Technologies and Service Science track), Hawaii, USA, January 2011.

Lindawati, H. C. Lau and D. Lo. Instance-based Parameter Tuning via Search Trajectory Similarity Clustering. In Proc. Learning and Intelligent OptimizatioN Conference (LION5), LNCS volume 6683, 131-145, Rome, Italy, January 2011.

A. Gunawan, H. C. Lau and Lindawati. Fine-Tuning Algorithm Parameters using the Design of Experiments. In Proc. Learning and Intelligent OptimizatioN Conference (LION5), LNCS volume 6683, 278-292, Rome, Italy, January 2011.

A. Gunawan, H. C. Lau and E. Wong. Real-World Parameter Tuning using Factorial Design with Parameter Decomposition. In Proc. 9th Metaheuristics International Conference (MIC), Udine, Italy, July 2011.

S. Kimbrough and H. C. Lau. Finding Robust-under-Risk Solutions for Flowshop Scheduling. In Proc. 9th Metaheuristics International Conference (MIC), Udine, Italy, July 2011.

S. Wang, D. Lo, L. Jiang, Lucia, and H. C. Lau. Search-Based Fault Localization. In Proc. 26th IEEE/ACM International Conference on Automated Software Engineering (ASE), Lawrence, USA, November 2011.

L Agussurja and H. C. Lau. A POMDP Model for Guiding Taxi Cruising in a Congested Urban City. In Proc. 10th Mexican International Conference on Artificial Intelligence (MICAI), LNAI volume 7094, 415-428, Puebla, Mexico, November 2011.

H. Chen and H. C. Lau. A math-heuristic approach for integrated resource scheduling in a maritime logistics facility. In Proc. IEEE International Conference on Industrial Engineering and Engineering Management (IEEM), Singapore, December 2011. (Best paper award Honorable Mention)

2010

H. C. Lau, J. Pan, and H. Song. Periodic Resource Reallocation in Two-Echelon Repairable Item Inventory Systems, IEEE Trans. Automation Science and Engineering, 7:3, 474–485, 2010.

N. Fu, P. Varakantham, H. C. Lau. Towards Finding Robust Execution Strategies for RCPSP/max with Durational Uncertainty. In Proc. International Conf. on Automated Planning and Scheduling (ICAPS), Toronto, Canada, May 2010.

S. Kimbrough, A. Kuo, H. C. Lau Effective Heuristic Methods for Finding Non-Optimal Solutions of Interest in Constrained Optimization Models. In Proc. Genetic and Evolutionary Computation Conference (GECCO), Portland, Oregon, USA, July 2010.

S. Kimbrough, A. Kuo, H. C. Lau: On decision support for deliberating with constraints in constrained optimization models. In Proc. GECCO Workshop on Evolutionary computation techniques for constraint handling, GECCO Companion:1833-1840.

A. Gunawan and H. C. Lau. The Bi-Objective Master Physician Scheduling Problem. In Proc. Practice and Theory of Automated Timetabling (PATAT), Belfast, North Ireland, August 2010.

R. Thangarajoo and H. C. Lau. Distributed Route Planning and Scheduling via Hybrid Conflict Resolution. In Proc. IEEE/WIC/ACM International Conference on Intelligent Agent Technology (IAT), Toronto, Canada, August, 2010.

H. X. Chen and H. C. Lau. Decentralized Resource Allocation and Scheduling via Walrasian Auctions with Negotiable Agents. In Proc. IEEE/WIC/ACM International Conference on Intelligent Agent Technology (IAT), Toronto, Canada, August 2010. Also presented at European Conf. on Operational Research (EURO), Lisbon, Portugal

2009

Z. Zhao, S. Ge and H. C. Lau. Integrated Resource Allocation and Scheduling in Bidirectional Flow Shop with Multi-Machine and COS Constraints. IEEE Trans. Systems, Man, Cybernetics (Part C), 39:2, 190-200, 2009.

A. Liang, X. Wu, H. C. Lau, Optimizing Service Systems based on Application-Level QoS. IEEE Trans. Service Computing, 2:2, 108-121, 2009.

L. Agussurja and H. C. Lau. The Price of Stability in Selfish Scheduling Games. Web Intelligence and Agent Systems: An International Journal, 9:4, 2009.

H. C. Lau and F. Xiao. Enhancing the Speed and Accuracy of Automated Parameter Tuning in Heuristic Design. In Proc. 8th Metaheuristics International Conference (MIC), Hamburg, Germany, July 2009.

S. Kimbrough, A. Kuo, H. C. Lau, Lindawati and D. H. Wood, On Using Genetic Algorithms to Support Post-Solution Deliberation in the Generalized Assignment Problem. In Proc. 8th Metaheuristics International Conference (MIC), Hamburg, Germany, July 2009.

I. R. Wior, Z. Zhao, M. Luo, J. Zhang, S. S. Ge, H. C. Lau. Conceptual Framework of a Dynamic Resource Allocation Test Bed-Its Practical Realization with ProModel. In Proc. IEEE Multi-conference on Systems and Control, Saint Petersburg, Russia, July 2009.

J. Zhang, H. C. Lau and J. Shen. Setting Discrete Bid Levels in Adaptive Auctions. In Proc. International Conf. on Electronic Commerce (ICEC), Taipei, Taiwan, August 2009.

A. Gunawan and H. C. Lau. Master Physician Scheduling Problem. In Proc. 4th Multidisciplinary International Conference on Scheduling: Theory and Applications (MISTA), Dublin, Ireland, August 2009.

2008

H. C. Lau, L. Agussurja and R, Thangarajoo, Real-Time Supply Chain Control via Multi-Agent Adjustable Autonomy. Computers & Operations Research (Special Issue on Real-time Supply Chain Management), 35, 3452– 3464, 2008.

G. Feng and H. C. Lau. Efficient Algorithms for Machine Scheduling Problems with Earliness and Tardiness Penalties. Annals of Operations Research (Special Issue on Scheduling), 159, 83-95, 2008.

H. C. Lau and H. Song, Optimization of Two-Echelon Repairable Inventory System with Limited Repair Facility under Non-Stationary Demands. International Journal of Inventory Research. 1:1, 67-92, 2008.

H. C. Lau and F. Xiao. The Oil Drilling Model and Iterative Deepening Genetic Annealing Algorithm for the TSP, In A. Fink and F, Rothlauf (eds), Advances in Computational Intelligence in Transportation and Logistics, Studies in Computational Intelligence. Springer, 169-184, 2008.

H. C. Lau, K. W. Lye, V. B. Nguyen, A Combinatorial Auction Framework for Solving Decentralized Scheduling Problems. In Proc. Fifth International Conf. on Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problems (CPAIOR) Paris, France, May, 2008.

Z. Y. Zhao, Kim, Luo, Lau, Ge and Zhang. A Heuristic Method for Job-Shop Scheduling with an Infinite Wait Buffer. In Proc. IEEE Conf. Cybernetics and Intelligent Systems, (CIS), Chengdu, China, June, 2008.

R. Thangarajoo, L. Agussurja, H. C. Lau. A Hybrid Approach to Convoy Movement Planning in an Urban City. In Proc. Innovative Applications of Artificial Intelligence (IAAI), Chicago, USA, July 2008.

H. C. Lau, Z. Zhao, S. Ge and T. H. Lee. Utility Pricing Auction for Multi-period Resource Allocation in Multi-Machine Flow Shop Problems. In Proc. International Conf. on Electronic Commerce (ICEC), Innsbruck, Austria, August 2008.

J. H. Park, J. K. Lee and H. C. Lau. Relationship-Preserving E-Procurement Auction. In Proc. International Conf. on Electronic Commerce (ICEC), Innsbruck, Austria, August, 2008.

N. Fu, F. Xiao and H. C. Lau, Generating Robust Schedules Subject to Resource and Duration Uncertainties. In Proc. International Conf. on Automated Planning and Scheduling (ICAPS), Sydney, Australia, September, 2008.

Q. Liang, H. C. Lau and X. Wu, Robust Application-Level QoS Management in Service-Oriented Systems. In Proc. IEEE International Conf. on Electronic Business Engineering (ICEBE), Xian, China, October, 2008.

S. F. Cheng, J. Tajan and H. C. Lau. Distributing complementary resources across multiple periods with stochastic demand: Hedging via time frame adjustment. In Proc. IEEE/WIC/ACM International Conference on Intelligent Agent Technology (IAT), Sydney, Australia, December 2008.

2007

H. C. Lau, W. C. Wan, S. Halim and K. Y. Toh. A Software Framework for Rapid Hybridization of Meta-Heuristics. International Trans. Operations Research (Special Issue for the 17th IFORS Triennial Conf.). 14:2, 123-141, 2007.

S. Halim and H. C. Lau. Visual Diagnostics for Parameter Tuning in Meta-Heuristics. In K. F. Doerner et al. (eds) Metaheuristics – Progress in Complex Systems Optimization (MIC 05 post-conference volume). Springer Operations Research / Computer Science Interfaces Book Series. 365-388, 2007.

H. C. Lau and F. Xiao. Towards an Intelligent Meta-Heuristics Development Framework. Proc. 7th Metaheuristics International Conference (MIC), Montreal, Canada, June 2007.

T. Y. Leong and H. C. Lau. Generating Job Schedules for Vessel Operations in a Container Terminal. Proc. 3rd Multidisciplinary International Conference on Scheduling: Theory and Applications (MISTA), Paris, France, August 2007.

H. C. Lau, T. Ou and F. Xiao. Robust Local Search and Its Application to Generating Robust Schedules. Proc. International Conf. on Automated Planning and Scheduling (ICAPS), Rhode Island, USA, September, 2007.

S. Halim, R. Yap and H. C. Lau. An Integrated White+Black Box Approach for Designing and Tuning Stochastic Local Search. Proc. 13th International Conf. on Principles & Practice of Constraint Programming (CP), Rhode Island, USA, September, 2007.

Z. Zhao, T. Y. Leong, S. Ge, and H. C. Lau. Bidirectional Flow Shop Scheduling with Multi-Machine Capacity and Critical Operation Sequencing. Proc. 22nd IEEE International Symp. on Intelligent Control (ISIC), Singapore, October 2007.

H. C. Lau, S. F. Cheng, T. Y. Leong, J. H. Park and Z Zhao. Multi-Period Combinatorial Auction Mechanism for Distributed Resource Allocation and Scheduling. Proc. IEEE/WIC/ACM International Conference on Intelligent Agent Technology (IAT), San Jose, USA, 2007.

L. Agussurja and H. C. Lau. The Price of Stability in Selfish Scheduling Games. Proc. IEEE/WIC/ACM International Conference on Intelligent Agent Technology (IAT), San Jose, USA, 2007.

H. C. Lau. Multi-Period Combinatorial Auctions for Distributed Resource Allocation. Presented at 22nd European Conference on Operational Research (EURO), Prague, Czech Republic, July 2007.

2006

H. C. Lau, H. Song, C. T. See and S. Y. Cheng. Evaluation of Time-Varying Availability in Multi-Echelon Spare Parts Systems with Passivation, European J. Operational Research. 170:1, 2006, 91-105. (PDF)

H. C. Lau, T. H Ngo and B. N. Nguyen. Finding a Length-Constrained Maximum-Sum or Maximum-Density Subtree and Its Application to Logistics, Discrete Optimization, 3:4, 2006. (PDF)

S. Halim, R. Yap and H. C. Lau. Visualization for Analysing Trajectory-Based Meta-Heuristic Search Algorithm. Proc. European Conference on AI (ECAI) 2006. Verona, Italy. August 2006. (PDF)

H. C. Lau and B. Viet, Solving Generalized Open Constraint Optimization Problem using Two-Level Multi-Agent Framework – Improved Results. European Conference on AI 2006 Workshop on Distributed CSP (DisCSP), Verona, Italy. August 2006.

H. C. Lau, J. Li, and R. Yap. Robust Controllability in Temporal Constraint Networks under Uncertainty. Proc. 18th IEEE Conf. on Tools with Artificial Intelligence (ICTAI) Washington D.C., November 2006. (PDF). Also presented in European Conference on AI 2006 Workshop on Modeling and Solving Problems with Constraints. Verona, Italy, August 2006.

S. Halim, R. Yap and H. C. Lau. Explaining Local Search Behavior Using Viz: The Local Search Visual Analysis Suite. Proc. 19th Annual ACM Symposium on User Interface Software and Technology (UIST) 2006. Montreux, Switzerland. October 2006. (PDF)

H. C. Lau and H. Song, Periodic Resource Reallocation in Multi-Echelon Inventory Systems, Proc. IEEE Conference on Automation Science and Engineering (CASE), Shanghai, China, October 2006. (PDF)

H. C. Lau, K. M. Ng and R, Thangarajoo, A Hybrid MIP/Heuristic Model for Experience Based Driver Assignment. Proc. 18th IEEE Conf. on Tools with Artificial Intelligence (ICTAI) Washington D.C., November 2006. (PDF)

H. C. Lau and W. C. Wan. iMDF: Intelligent Meta-heuristics Development Framework. Presented at 19th Intl Symp. on Mathematical Programming, July 2006, Rio de Janeiro, Brazil.

H. C. Lau, G. L. Soh and W. C. Wan, Dynamic Multi-Linked Negotiations in Multi-Echelon Production Scheduling Networks. Proc. IEEE/WIC/ACM Int'l Conf. on Intelligent Agent Technology (IAT), December 2006. (PDF) Also presented at IFIP Workshop on Virtual Environments for Advanced Modeling. Hamburg, Germany, June 2006.

2005

H. C. Lau, W. C. Wan and X. Jia, A Generic Object-Oriented Tabu Search Framework, In Ibaraki, Toshihide, Nonobe, Koji, and Yagiura, Mutsunori (eds.), Metaheuristics : Progress as Real Problem Solvers (MIC 2003 post-conference volume), 203-226, Kluwer Academic Publishers, Boston, USA. (PDF)

H. C. Lau and H. Wang, A Multi-Agent Approach for Solving Optimization Problems involving Expensive Resources, Proc. 20th ACM Symposium on Applied Computing (SAC), 79-83, New Mexico, USA, March 2005. (PDF)

H. C. Lau and W. C. Wan. A Development Framework for Rapid Meta-heuristics Hybridization. Presented at 17th Triennial Conference of the IFORS, July 2005, Hawaii, USA.

G. Feng and H. C. Lau. Efficient Algorithms for Machine Scheduling Problems with Earliness and Tardiness Penalties. Proc. 2nd Multidisciplinary International Conference on Scheduling: Theory and Applications (MISTA), 196-212, New York City, USA, July 2005.

H. C. Lau and H. Song, Evaluation of Time-Varying Availability in Multi-Echelon Inventory System with Combat Damage, Proc. IEEE Conference on Automation Science and Engineering (CASE), 226-231, Edmonton, Canada, August 2005. (PDF)

H. C. Lau, W. C. Wan, and S. Halim, Tuning Tabu Search Strategies via Visual Diagnosis. Proc. 6th Metaheuristics International Conference (MIC), 630-636, Vienna, August 2005.

H. C. Lau, L. Zhang and C. Liu, Solving Generalized Open Constraint Optimization Problem using Two-Level Multi-Agent Framework, Proc. IEEE/WIC/ACM Int'l Conf. on Intelligent Agent Technology (IAT), 558-564, France, September 2005. (PDF)

H. C. Lau, L. Agussurja and R, Thangarajoo, Partial Adjustable Autonomy in Multi Agent Environment and Its Application to Military Logistics, Proc. IEEE/WIC/ACM Int'l Conf. on Intelligent Agent Technology (IAT), 152-156, France, September 2005. (PDF)

H. C. Lau, T. Ou and M. Sim, Robust Temporal Constraint Networks. Proc. 17th IEEE Conf. on Tools with Artificial Intelligence (ICTAI) (Special Track on AI in Logistics and Supply Chain Management), 82-88, Hong Kong, November 2005. (PDF)

2004

Y. Song and H. C. Lau, A Periodic-Review Inventory Model with Application to the Continuous-Review Obsolescence Problem, European J. Operational Research, 159:1, 2004, 110-120. (PDF)

H. C. Lau, K. M. Ng, and X. Wu. Transport Logistics Planning with Service-Level Constraints, Proc. 19th National Conf. on Artificial Intelligence (AAAI), San Jose, USA, July 2004. 519-524. (PDF)

H. C. Lau, K. M. Ng, and X. Wu. Transport Scheduling with Service-Level Constraints - Complexity and Algorithms, Proc. 2nd Int'l Symp. on Scheduling (ISS), 11-16, Hyogo, Japan, May 2004.

H. C. Lau and M. K. Lim. Multi-Period Multi-Dimensional Knapsack Problem and Its Application to Available-to-Promise, Proc. 2nd Int'l Symp. on Scheduling (ISS), 94-99, Hyogo, Japan, May 2004. (PDF)

H. C. Lau, M. K. Lim, W. C. Wan, and S. Halim. A Development Framework for Rapid Meta-heuristics Hybridization, Proc. 28th IEEE Computer Society Signature Conf. on Software Technology and Applications (COMPSAC), 362-367, Hong Kong, September 2004. (PDF)

H. C. Lau and L. Zhang, A Two-level Framework for Coalition Formation via Optimization and Agent Negotiation, Proc. IEEE/WIC/ACM Int'l Conf. on Intelligent Agent Technology (IAT), 441-445, Beijing, China, September 2004. (PDF)

H. C. Lau and H. Song, Two-Echelon Repairable Item Inventory System with Limited Repair Capacity under Nonstationary Demands, Proc. 35th Meeting of the Decision Sciences Institute (DSI), 1901-1908, Boston, USA, November 2004. (PDF)

H. C. Lau, K. Y. Neo, and W. C. Wan, Corrective Maintenance Optimization in an Air Force, Proc. 35th Meeting of the Decision Sciences Institute (DSI), 1911-1917, Boston, USA, November 2004. (PDF)

H. C. Lau and C. Zhang, Job Scheduling with Unfixed Availability Constraints, Proc. 35th Meeting of the Decision Sciences Institute (DSI), 4401-4406, Boston, USA, November 2004. (PDF)

2003

H. C. Lau, M. Sim and K. M. Teo, "Vehicle Routing Problem with Time Windows and a Limited Number of Vehicles", European J. Operational Research, 148:3, 2003, 559-569. (PDF)

H. C. Lau, W. S. Lim, "Multi-Agent Coalition via Autonomous Price Negotiation in a Real-Time Web Environment", Proc. IEEE/WIC Int'l Conf. on Intelligent Agent Technology (IAT), Halifax, 2003. 580-583. (PDF)

H. C. Lau and L. Zhang, "Task Allocation via Multi-Agent Coalition Formation: Taxonomy, Algorithms and Complexity". Proc. 15th IEEE Conf. on Tools with Artificial Intelligence (ICTAI), Sacramento, USA, 2003. 346-350 (PDF)

H. C. Lau, W. C. Wan and X. Jia. “A Generic Object-Oriented Tab Search Framework”, Proc. 5th Metaheuristics International Conference (MIC), Kyoto, Japan, 2003. Also presented at EURO/INFORMS Joint International Meeting, Istanbul, Turkey. (PDF)

H. C. Lau, M. K. Lim, W. C. Wan, H. Wang and X. Wu, "Solving Multi-Objective Multi-Constrained Optimization Problems using Hybrid Ants System and Tabu Search", Proc. 5th Metaheuristics International Conference (MIC), Kyoto, Japan, 2003. (PDF)

E. Barnes, J. Dai, S. Deng, D. Down, M. Goh, H. C. Lau and M. Sharafali, On the Strategy of Supply Hubs for Cost Reduction and Responsiveness, ICFAI Journal of Operations Management (Invited). May 2003. (PDF)

2002

H. C. Lau, Z. Liang, Pickup and Delivery Problem with Time Windows, Algorithms and Test Case Generation. Int. J. Artificial Intelligence Tools, 11:3, 2002, 455-472. (PDF)

H. C. Lau, Y. G. Goh. An Intelligent Brokering System to Support Multi-Agent Web-Based 4th Party Logistics. Proc. 14th IEEE Conf. on Tools with Artificial Intelligence (ICTAI), Washington D.C., 2002. 154-161. (PDF)

H. C. Lau, H. Ono, and Q. Z. Liu. Integrating Local Search and Network Flow to Solve the Inventory Routing Problem. Proc. 18th National Conf. on Artificial Intelligence (AAAI), 9-14, Edmonton, Canada, 2002. (PDF)

H. C. Lau and Y. Song, Combining Two Heuristics to Solve a Supply Chain Optimization Problem. Proc. 15th European Conference on Artificial Intelligence (ECAI), 581-585, IOS Press, Amsterdam, 2002.

H. C. Lau, H. Song. Integrated Spares and Resource Allocation for Corrective Maintenance Under Non-Stationary Demands. Proc. 6th Asia-Pacific Military Operations Research Society Symp. (AMORS), 2002.

H. C. Lau, A New Approach for Weighted Constraint Satisfaction. Constraints Journal, 7:2, 2002, 150-165. (PDF)

2001

H. C. Lau, Z. Liang, Pickup and Delivery Problem with Time Windows, Algorithms and Test Case Generation. Proc. 13th IEEE Conf. on Tools with Artificial Intelligence (ICTAI), 333-340, 2001. Invited submission to Int. J. Artificial Intelligence Tools. (PDF)

H. C. Lau, G. Lo, A Multi-Agent Framework for Supporting Intelligent Fourth-Party Logistics. Proc. Int'l Conf. on Integrated Logistics, 2001, Singapore. (PDF)

H. C. Lau, Y. F. Lim, and Q. Z. Liu, Diversification of Search Neighborhood via Constraint-Based Local Search and Its Applications to VRPTW. Proc. 3rd International Workshop on Integration of AI and OR Techniques (CP-AI-OR), 2001, Kent, United Kingdom. Also presented at INFORMS Meeting, Salt Lake City, 2000. (PDF)

2000 and before

H. C. Lau, A. Lim, and Q. Z. Liu. Solving a Supply Chain Optimization Problem Collaboratively. Proc. 17th National Conf. on Artificial Intelligence (AAAI), 780-785, Texas, USA, 2000. (PDF)

J. T. Chia, H. C. Lau, and A. Lim, Ant Colony Optimization for the Ship Berthing Problem. Proc. 5th Asian Computing Science Conference (ASIAN), LNCS volume 1742, 359-370, 1999. (PDF)

Q. Z. Liu and H. C. Lau, Collaborative Model and Algorithms for Supporting Real-time Distribution Logistics System. Proc. CP99 Workshop on Large Scale Combinatorial Optimisation and Constraints, Alexandria, Virginia, USA. Electronic Notes in Discrete Mathematics, Volume 4, 1999.

H. M. Foo, H. W. Leong, Y. Lao, and H. C. Lau. A Multi-Criteria, Multi-Modal Passenger Route Advisory System. Proc. 1999 IES-CTR Int'l Symp., Singapore (invited publication in IES Journal), 1999. (PDF)

M. Halldorsson and H. C. Lau, Low-degree Graph Partitioning via Local Search with Applications to Constraint Satisfaction, Max Cut, and 3-Coloring, J. Graph Algorithms and Applications, 1:3, 1997, 1-13. (Postscript)

H. C. Lau and S. C. Lua, Efficient Multi-skill Crew Rostering via Constrained Sets. Proc. 3rd ILOG Int'l User Meeting, Paris, July 1997.

H. C. Lau and Dennis Seah, An Efficient Technique for Routing of Vehicle Reactively. Proc. 8th ITSA Annual Meeting and Exposition, Detroit, Michigan, May, 1998.

Q. Z. Liu, H.C. Lau, Dennis Seah, Sidney Chong, An Efficient Near-exact Algorithm for Large-Scale Vehicle Routing with Time Windows, Proc. 5th World Congress on Intelligent Transportation Systems, Korea, October 1998.

X. Wu and H. C. Lau, Traffic Prediction in Intelligent Vehicle Highway Systems, Proc. Int'l Conf System Science and System Engineering, 424-429, Beijing, August, 1998.

H. C. Lau, Approximation of Constraint Satisfaction via Local Search, Proc. 4th Workshop on Algorithms and Data Structures (WADS), Springer Verlag LNCS (955), 461-472, 1995.

H. C. Lau, Manpower Scheduling with Shift Change Constraints, Transactions of the Information Processing Society of Japan (IPSJ), 36:5, 1995, 1271-1279.

H. C. Lau, On the Complexity of Manpower Shift Scheduling, Computers and Operations Research, 23:1, 1996, 93-102. (PDF)

H. C. Lau, Combinatorial Approaches for Hard Problems in Manpower Scheduling, J. Operations Research Society of Japan, 39:1, 1996, 88-98. (PDF)

H. C. Lau, Probabilistic Analysis of Local Search and NP-Completeness Results for Constraint Satisfaction. Proc. 2nd Intl Conf. Computing and Combinatorics (COCOON), Springer Verlag LNCS (1090), 371-380, 1996. (PDF)

H. C. Lau, Probabilistic Analysis of Local Search for Random Instances of Constraint Satisfaction. Proc. 12th European Conf. Artificial Intelligence (ECAI), 195-199, 1996.

H. C. Lau and O. Watanabe, Randomized Approximations of the Constraint Satisfaction Problem. Proc. 5th Scandinavian Workshop on Algorithm Theory (SWAT), Springer Verlag LNCS (1097), 78-87, 1996.

H. C. Lau and O. Watanabe, Randomized Approximations of the Constraint Satisfaction Problem. Nordic J. Computing, 3, 1996, 405-424. (Postscript)

H. C. Lau, A New Approach for Weighted Constraint Satisfaction: Theoretical and Computational Results. Proc. 2nd Int'l Conf. Principle and Practice of Constraint Programming (CP), Springer Verlag LNCS (1118), 323-337, 1996. Invited submission to Constraints Journal.

C. M. Khoong and H. C. Lau and L. W. Chew, Automated Manpower Rostering: Techniques and Experience, Int'l Transactions on Operational Research, 1:3, 1994, 353-361. (PDF)

H. C. Lau, Changing Shift Assignment in Manpower Scheduling, Proc. ORSJ Spring Symp., May 1994, Nagoya, Japan, 169-170.

H. C. Lau, Manpower Scheduling with Shift Change Constraints, Proc. 5th Int'l. Symp. Algorithms and Computation (ISAAC), Springer Verlag LNCS (834), 616-624, 1994.

P. Powell and H. C. Lau, Branch Distance Optimization of Structured Programs, Computers and Mathematics with Applications, 19:12, 1990, 1184-1201.

C. M. Khoong and H. C. Lau, ROMAN: An Integrated Approach to Manpower Planning and Scheduling, In O. Balci and R. Sharda and S. Zenios (eds), CS & OR: New Development in Their Interfaces, Pergammon Press, 1992, 383-396.

H. C. Lau, Preference-based Scheduling via Constraint Satisfaction, In K. H. Phua et al. (eds), Optimization Techniques and Applications, Proc. Int'l. Conf. on Optimiz. Techniques and Applications (ICOTA), World Scientific, 1992, 546-554.

H. C. Lau and S. C. Wong, Unit-capacity Vehicle Scheduling via Constraint Satisfaction, Proc. Singapore Int'l. Conf. on Intelligent Systems (SPICIS'92), 1992, 243-248.

Non-Refereed Papers/Technical Reports

H. C. Lau, Simple yet Effective Algorithms for Constraint Satisfaction and Related Problems (doctoral thesis). Dept. Computer Science, Tokyo Inst. of Technology, No. 96TR-0015, 1996.

H. C. Lau and O. Watanabe, Randomized Approximation of Constraint Satisfaction and Stable Cut, Dept. Computer Science, Tokyo Inst. of Technology, No. 95TR-0019, 1995.

H. C. Lau, Manpower Shift Scheduling with Monotonic Constraints, IEICE Technical Report, No COMP94-2, 1994, 11-20.

H. C. Lau, Local Search for CSP and Its Applications to Rescheduling and Graph Coloring, Dept. Computer Science, Tokyo Inst. of Technology, No. 94TR-0014, 1994.

H. C. Lau, Probabilistic Analysis of Local Search for Constraint Satisfaction and Its Applications to Rescheduling, Dept. Computer Science, Tokyo Inst. of Technology, No. 94TR-0036, 1994.

H. C. Lau, Manpower Shift Scheduling, Algorithms and Complexity (Part II) Dept. Computer Science, Tokyo Inst. of Technology, No. 94TR-0002, 1994.

H. C. Lau, Manpower Shift Scheduling, Algorithms and Complexity (Part I), Dept. Computer Science, Tokyo Inst. of Technology, No. 93TR-0044, 1993.

H. C. Lau, A Branch and Bound Algorithm for Interactive Shift Assignment, Information Technology Institute, Singapore, No ITI-KS-92-08, 1992. (Presented at ORSA CSTS Conference, Williamsburg, Virginia, Jan 1992).

H. C. Lau and P. Powell, Jump Optimization of Structured Programs, Dept. Computer Science, University of Minnesota, No. TR-88-56, 1988.

H. C. Lau and P. Powell, Branch Distance Optimization of Structured Programs, Dept. Computer Science, University of Minnesota, No. TR-88-58, 1988.