One warehouse multiple retailer systems with vehicle routing costs
Management Science
Multi-Agent Systems: An Introduction to Distributed Artificial Intelligence
Multi-Agent Systems: An Introduction to Distributed Artificial Intelligence
Is it an Agent, or Just a Program?: A Taxonomy for Autonomous Agents
ECAI '96 Proceedings of the Workshop on Intelligent Agents III, Agent Theories, Architectures, and Languages
Distributed Problem Solving and Planning
EASSS '01 Selected Tutorial Papers from the 9th ECCAI Advanced Course ACAI 2001 and Agent Link's 3rd European Agent Systems Summer School on Multi-Agent Systems and Applications
Probabilistic Analyses and Practical Algorithms for Inventory-Routing Models
Operations Research
A multi-agent algorithm for vehicle routing problem with time window
Proceedings of the 2006 ACM symposium on Applied computing
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We propose a multi-agent framework for modeling and solving a complex logistic optimization problems called the Inventory Routing Problem (IRP). We use agents to represent the entities (customers, routes, deliveries) in the IRP. While each agent is driven by its own local objective functions and operations (actions), they also interact with each other. Thus, they cooperate and, at the same time, compete with each other for resources. In this way, our multi-agent framework allows us to capture the coopetitive (cooperation and competition) nature of the global optimization in the IRP. Our experimental results show that this approach is competitive against well-known methods on published benchmarks for the IRP.