Edward Lam

Orcid: 0000-0002-4485-5014

Affiliations:
  • Monash University, Melbourne, VIC, Australia
  • University of Melbourne, Parkville, VIC, Australia (PhD 2017)


According to our database1, Edward Lam authored at least 20 papers between 2015 and 2026.

Collaborative distances:

Timeline

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Bibliography

2026
Optimal Unlabeled Pebble Motion on Trees and its Application to Multi-Agent Path Finding.
CoRR, March, 2026

2025
Column Generation Using Domain-Independent Dynamic Programming.
CoRR, October, 2025

2024
Branch-and-Price for the Length-Constrained Cycle Partition Problem.
CoRR, 2024

Optimal Unlabeled Pebble Motion on Trees.
Proceedings of the Seventeenth International Symposium on Combinatorial Search, 2024

2023
Hybrid optimization of vehicle routing problems.
Constraints An Int. J., 2023

Exact Anytime Multi-Agent Path Finding Using Branch-and-Cut-and-Price and Large Neighborhood Search.
Proceedings of the Thirty-Third International Conference on Automated Planning and Scheduling, 2023

2022
Branch-and-cut-and-price for the Electric Vehicle Routing Problem with Time Windows, Piecewise-Linear Recharging and Capacitated Recharging Stations.
Comput. Oper. Res., 2022

Branch-and-cut-and-price for multi-agent path finding.
Comput. Oper. Res., 2022

2021
An Adaptive Charging Scheduling for Electric Vehicles Using Multiagent Reinforcement Learning.
Proceedings of the Service-Oriented Computing - 19th International Conference, 2021

A Scalable Two Stage Approach to Computing Optimal Decision Sets.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Nutmeg: a MIP and CP Hybrid Solver Using Branch-and-Check.
Oper. Res. Forum, 2020

Branch-and-cut-and-price for the cardinality-constrained multi-cycle problem in kidney exchange.
Comput. Oper. Res., 2020

Exact Approaches to the Multi-agent Collective Construction Problem.
Proceedings of the Principles and Practice of Constraint Programming, 2020

Large Neighborhood Search for Temperature Control with Demand Response.
Proceedings of the Principles and Practice of Constraint Programming, 2020

New Valid Inequalities in Branch-and-Cut-and-Price for Multi-Agent Path Finding.
Proceedings of the Thirtieth International Conference on Automated Planning and Scheduling, 2020

2019
Branch-and-Cut-and-Price for Multi-Agent Pathfinding.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

2017
Hybrid optimization of vehicle routing problems.
PhD thesis, 2017

Branch-and-Check with Explanations for the Vehicle Routing Problem with Time Windows.
Proceedings of the Principles and Practice of Constraint Programming, 2017

2016
A branch-and-price-and-check model for the vehicle routing problem with location congestion.
Constraints An Int. J., 2016

2015
Joint Vehicle and Crew Routing and Scheduling.
Proceedings of the Principles and Practice of Constraint Programming, 2015


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