The vehicle routing problem
Asynchronous Teams: Cooperation Schemes for Autonomous Agents
Journal of Heuristics
A Roadmap of Agent Research and Development
Autonomous Agents and Multi-Agent Systems
A Guided Cooperative Search for the Vehicle Routing Problem with Time Windows
IEEE Intelligent Systems
Cooperative Multi-Agent Learning: The State of the Art
Autonomous Agents and Multi-Agent Systems
JABAT middleware as a tool for solving optimization problems
Transactions on computational collective intelligence II
An agent-based guided local search for the capacited vehicle routing problem
KES-AMSTA'11 Proceedings of the 5th KES international conference on Agent and multi-agent systems: technologies and applications
ICCCI'11 Proceedings of the Third international conference on Computational collective intelligence: technologies and applications - Volume Part II
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Cooperative multi-agent systems are rapidly growing subclass of the multi-agent systems where autonomous components allow to built and use several agent types acting in parallel while cooperatively solving a task. Possible form of such cooperation may be based, for example, on adaptive memory methods, where partial elements of good solutions are stored and next combined to create new complete solutions. Alternative possibility forms central memory approaches, where complete elite solutions are exchanged among various heuristics. Moreover, cooperatively solving a task is often combined with learning mechanism, where agents adapt their behavior to the new conditions of environment during the process of solving the problem. The goal of the paper is to propose a dedicated cooperative multi-agent system for solving the Vehicle Routing Problem with a reinforcement learning mechanism implemented in it.