An agent architecture for vehicle routing problems
Proceedings of the 2001 ACM symposium on Applied computing
Fundamenta Informaticae - Special issue on theory and applications of soft computing (TASC04)
Online Stochastic Combinatorial Optimization
Online Stochastic Combinatorial Optimization
The Contract Net Protocol: High-Level Communication and Control in a Distributed Problem Solver
IEEE Transactions on Computers
A-Teams and Their Applications
ICCCI '09 Proceedings of the 1st International Conference on Computational Collective Intelligence. Semantic Web, Social Networks and Multiagent Systems
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A wide range of problems arising in practice of transportation companies has a dynamic character, i.e. the required information is not given a priori to the decision maker but is revealed concurrently with the decision-making process. One of the most important group of such problems are dynamic vehicle routing problems, which involve dynamic decision making with respect to vehicle routing in response to the flow of customer demands. The goal of such routing is to provide the required transportation with minimal service cost subject to various constraints. The paper proposes a new approach to solving the dynamic vehicle routing problem using the multi-agent environment.