Solving a real world routing problem using evolutionary agents.

Urquhart, Neil B, Ross, Peter, Paechter, Ben and Chisholm, Ken (2002) Solving a real world routing problem using evolutionary agents. In: Parallel Problem Solving From Nature VII, Granada, Spain, 7th-11th September 2002, Granada, Spain.

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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.

Item Type: Conference or Workshop Item (Paper)
Print ISSN: 03029743
ISBN: 3540441395
Additional Information: Lecture Notes in Computer Science, Vol 2439 published by Springer contains proceedings of PPSN VII.
Uncontrolled Keywords: Computer programming; Evolutionary algorithms; Multi-agent system; Computer architecture; Case study; Routing problem;
University Divisions/Research Centres: Faculty of Engineering, Computing and Creative Industries > School of Computing
Dewey Decimal Subjects: 000 Computer science, information & general works > 000 Computer science, knowledge & systems > 006 Special Computer Methods
Library of Congress Subjects: Q Science > QA Mathematics > QA76 Computer software
Item ID: 1756
Depositing User: RAE Import
Date Deposited: 28 May 2008 10:39
Last Modified: 27 Jul 2011 15:38

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