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Solving a real world routing problem using multiple evolutionary algorithms.

Urquhart, Neil B; Ross, Peter; Paechter, Ben; Chisholm, Ken

Authors

Peter Ross

Ken Chisholm



Abstract

This paper investigates the solving of a real world routing problem using evolutionary algorithms embedded within a Multi-agent system (MAS). An architecture for the MAS is proposed and mechanisms for controlling the interactions of agents are investigated. The control mechanism used in the final solution is based on the concept of agents submitting bids to receive work. The agents are also allowed to alter their bidding strategies as the solution improves. The MAS solves the test problem is solved, which previously could not be solved within the hard constraints.

Citation

Urquhart, N. B., Ross, P., Paechter, B., & Chisholm, K. (2002, September). Solving a real world routing problem using multiple evolutionary algorithms. Presented at 7th International Conference PPSN: International Conference on Parallel Problem Solving from Nature-, Granada, Spain

Presentation Conference Type Conference Paper (published)
Conference Name 7th International Conference PPSN: International Conference on Parallel Problem Solving from Nature-
Start Date Sep 7, 2002
End Date Sep 11, 2002
Online Publication Date Oct 4, 2002
Publication Date Oct 4, 2002
Deposit Date Jun 4, 2010
Publisher Springer
Peer Reviewed Peer Reviewed
Volume 2439
Pages 871-880
Series Title Lecture Notes in Computer Science
Series Number 2439
Series ISSN 0302-9743
Book Title Parallel Problem Solving from Nature — PPSN VII
ISBN 978-3-540-44139-7
DOI https://doi.org/10.1007/3-540-45712-7_84
Keywords routing problems; real world; evolutionary algorithms; Multi-agent system;
Public URL http://researchrepository.napier.ac.uk/id/eprint/3308
Publisher URL https://doi.org/10.1007/3-540-45712-7_84