Robbert Reijnen, Yingqian Zhang, Hoong Chuin Lau, Zaharah Bukhsh. Online Control of Adaptive Large Neighborhood Search Using Deep Reinforcement Learning. In Proc.
34th International Conference on Automated Planning and Scheduling (ICAPS-2023), Banff, Canada, June 2024.
Ningyi Xie, Xinwei Lee, Dongsheng Cai, Yoshiyuki Saito, Nobuyoshi Asai and Hoong Chuin Lau. A Feasibility-Preserved Quantum Approximate Solver for the Capacitated Vehicle Routing Problem.
27th International Conf. on Quantum Information Processing (QIP-2024), Taipei, January 2024. (poster presentation)
https://arxiv.org/abs/2308.08785
Monit Sharma, Hoong Chuin Lau and Rudy Raymond. Quantum Enhanced-Simulation Based Optimization for Newsvendor Problems.
27th International Conf. on Quantum Information Processing (QIP-2024), Taipei, January 2024. (poster presentation)
https://arxiv.org/abs/2403.17389
Jianhui Du, Zhiqin Zhang, Xu Wang and Hoong Chuin LAU. A hierarchical optimization approach for dynamic pickup and delivery problem with LIFO constraints.
Transportation Research Part E: Logistics and Transportation Review , Volume 175, July 2023.
Waldy Joe and Hoong Chuin Lau. Coordinating Multi-Party Vehicle Routing with Location Congestion via Iterative Best Response.
Springer Nature Computer Science, 4:157, 2023.
https://doi.org/10.1007/s42979-022-01551-w
Waldy Joe and Hoong Chuin Lau. Learning to Send Reinforcements: Coordinating Multi-Agent Dynamic Police Patrol Dispatching and Rescheduling via Reinforcement Learning. In Proc.
32nd International Joint Conference on Artificial Intelligence (IJCAI-2023), Macau, August 2023.
Phong Tran and Hoong Chuin Lau. Generative STResnet for Crime Prediction (Tiny Paper). In Proc.
Eleventh International Conference on Learning Representations (ICLR). Kigali, Rwanda, May, 2023.
Open Review
Songhan Wong, Waldy Joe and Hoong Chuin Lau. Dynamic Police Patrol Scheduling with Multi-Agent Reinforcement Learning. In Lecture Notes in Computer Science Proceedings of
Learning and Intelligent OptimizatioN Conference (LION), Nice, France, June 2023.
Ambrogio Maria Bernardelli, Stefano Gualandi, Hoong Chuin Lau and Simone Milanesi. The BeMi Stardust: a Structured Ensemble of Binarized Neural Networks. In In Lecture Notes in Computer Science Proceedings of
Learning and Intelligent OptimizatioN Conference (LION), Nice, France, June 2023.
Quang Anh Pham, Hoong Chuin Lau, Minh Hoang Ha and Lam Vu. An Efficient Hybrid Genetic Algorithm for the Quadratic Traveling Salesman Problem. In Proc.
33rd International Conference on Automated Planning and Scheduling (ICAPS-2023), Prague, Czech Republic, July 2023.
Zhiqin Zhang, Waldy Joe, Yuyang Er and Hoong Chuin Lau. When Routing Meets Recommendation: Solving Dynamic Order Recommendations Problem in Peer-to-Peer Logistics Platform. In Lecture Notes in Computer Science Proceedings of
International Conference on Computational Logistics (ICCL 2023), September 2023, Berlin, Germany.
Tran Phong, Paul Tang, and Hoong Chuin Lau. Individually Rational Collaborative Vehicle Routing through Give-And-Take Exchanges. In IJCAI 2023 Workshop on Search and Planning with Complex Objectives, Macao, 2023.
arXiv
Ruidian Song, Hoong Chuin Lau, Xue Luo, Lei Zhao. Coordinated Delivery to Shopping Malls with Limited Docking Capacity.
Transportation Science, Volume 56, Issue 2, March-April 2022.
Jonathan Chase, Siong Thye Goh, Phong Tran and Hoong Chuin Lau. OFFICERS: Operational Framework For Intelligent Crime-and-Emergency Response Scheduling. In Proc.
32nd International Conference on Automated Planning and Scheduling (ICAPS 2022), June 2022, Singapore.
Waldy Joe, Hoong Chuin Lau and Jonathan Pan. Reinforcement Learning Approach to Solve Dynamic Bi-Objective Police Patrol Dispatching and Rescheduling Problem. In Proc.
32nd International Conference on Automated Planning and Scheduling (ICAPS 2022), June 2022, Singapore
Jonathan Chase, Jingfeng Yang and Hoong Chuin Lau. Risk-Aware Procurement Optimization in a Global Technology Supply Chain. In Lecture Notes in Computer Science Proceedings of
International Conference on Computational Logistics (ICCL 2022), September 2022, Barcelona, Spain.
Siong Thye Goh, Jianyuan Bo, Sabrish Gopalakrishnan and Hoong Chuin Lau. Techniques to Enhance a QUBO Solver For Permutation-Based Combinatorial Optimization. In Proc.
Genetic and Evolutionary Computation Conference (GECCO 2022) Workshop on Quantum Optimization, July 2022, Boston, USA.
https://dl.acm.org/doi/10.1145/3520304.3533982 (early manuscript in
https://arxiv.org/abs/2009.12767)
Whei Yeap Suen, Matthieu Parizy and Hoong Chuin Lau. Enhancing a QUBO solver via Data Driven Multi-start and its Application to Vehicle Routing Problem. In Proc.
Genetic and Evolutionary Computation Conference (GECCO 2022) Workshop on Quantum Optimization, July 2022, Boston, USA.
https://dl.acm.org/doi/10.1145/3520304.3533988
Siong Thye Goh, Jianyuan Bo, Matthieu Parizy and Hoong Chuin Lau. A Recommendation System Approach to Tune a QUBO Solver. In Proc.
International Joint Conf. on Artificial Intelligence (IJCAI 2022) Workshop on New Architectures for Search and Optimization, July 2022, Vienna, Austria.
https://sites.google.com/view/naso-2022
Hoong Chuin Lau and Baoxiang Li. Solving the Winner Determination Problem for Online B2B Transportation Matching Platforms.
Transportation Research Part E: Logistics and Transportation Review , Volume 150, June 2021.
Arambam James Singh, Akshat Kumar and Hoong Chuin Lau. Approximate Difference Rewards for Scalable Multigent Reinforcement Learning (extended abstract). In Proc.
20th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2021), May 2021, Virtual.
Waldy Joe and Hoong Chuin Lau. Coordinating Multi-Party Vehicle Routing with Location Congestion via Iterative Best Response. In Lecture Notes in Artificial Intelligence Proceedings of
18th European Conference on Multi-Agent Systems(EUMAS 2021), June 2021, Virtual.
Arambam James Singh, Akshat Kumar and Hoong Chuin Lau. Learning and Exploiting Shaped Reward Models for Large Scale Multiagent RL. In Proc.
31st International Conference on Automated Planning and Scheduling (ICAPS 2021), Guangzhou, China, August 2021.
J. Chase, P. Tran, L. Kang, T. Le and H. C. Lau. GRAND-VISION: An Intelligent System for Optimized Deployment Scheduling of Law Enforcement Agents. In Proc.
31st International Conference on Automated Planning and Scheduling (ICAPS 2021), Guangzhou, China, August 2021.
Watch
System Demo.
Jingfeng Yang and Hoong Chuin Lau. A Learning and Optimization Framework for Collaborative Urban Delivery Problems with Alliances. In Lecture Notes in Computer Science Proceedings of
International Conference on Computational Logistics (ICCL 2021), September 2021, Virtual.
Whei Yeap Suen, Chun Yat Lee and Hoong Chuin Lau. Quantum-inspired algorithm for Vehicle Sharing Problem. In Proc.
IEEE Intl. Conf. on Quantum Computing and Engineering (QCE 2021), October, 2021, Virtual.
Tian Huang, Siong Thye Goh, Sabrish Gopalakrishnan, Tao Luo, Qianxiao Li, and Hoong Chuin Lau QROSS: QUBO Relaxation Parameter Optimisation via Learning Solver Surrogates. In Proc.
IEEE 41st International Conference on Distributed Computing Systems Workshops (ICDCSW), pages 35–40. 2021.
https://arxiv.org/abs/2103.10695
Arambam Singh, Akshat Kumar and Hoong Chuin Lau. Hierarchical Multiagent Reinforcement Learning for Maritime Traffic Management. In Proc.
19th International Conference on Autonomous Agents and Multiagent Systems(AAMAS), Auckland, New Zealand, May 2020.
Waldy Joe and Hoong Chuin Lau. Deep Reinforcement Learning Approach to Solve Dynamic Vehicle Routing Problem with Stochastic Customers. In Proc.
30th International Conference on Automated Planning and Scheduling (ICAPS), Nice, France, June 2020.
Bertran Queck and Hoong Chuin Lau. A Genetic Algorithm to Minimise Number of Vehicles in an Electric Vehicle Routing Problem. In
Lecture Notes in Computer Science: Proc.
International Conference on Computational Logistics (ICCL), The Netherlands, September 2020.
Duc Thien Nguyen, William Yeoh, Hoong Chuin Lau and Rowie Zivan. Distributed Gibbs: A Linear-Space Sampling-Based DCOP Algorithm.
Journal of Artificial Intelligence Research, Vol 64, 705-748, 2019.
Lucas Agussurja, Shih-Fen Cheng and Hoong Chuin Lau. State Aggregation Approach for Stochastic Multi-Period Last-Mile Ride-Sharing Problem.
Transportation Science, 53 (1), 148-166, 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. Cham: Springer, 865-909, 2019.
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 and Hoong Chuin Lau. 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.
Saumya Bhatnagar, Akshat Kumar and Hoong Chuin Lau. Decision Making for Improving Maritime Traffic Safety Using Constraint Programming. In Proc. International Joint Conference on Artificial Intelligence (IJCAI), Macau, China, August 2019.
Jonathan Chase, Duc Thien Nguyen, Haiyang Sun and Hoong Chuin Lau. Improving Law Enforcement Daily Deployment Through Machine Learning-Informed Optimization under Uncertainty. In Proc. International Joint Conference on Artificial Intelligence (IJCAI), Macau, China, August 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.
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.
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 Gate System Operations for a Multi Purpose Port 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.
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.
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.
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.
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.
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.
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)
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
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.
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.
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.
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.
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)
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)
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)
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)
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)
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.