A Population Based Hybrid Metaheuristic for the ρ-median Problem

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Title A Population Based Hybrid Metaheuristic for the ρ-median Problem
Author Pullan, Wayne John
Publication Title IEEE Congress on Evolutionary Computation
Editor Zbigniew Michalewicz
Year Published 2008
Place of publication Hong Kong
Publisher IEEE
Abstract The p-median problem is one of choosing p facilities from a set of candidates to satisfy the demands of n clients such that the overall cost is minimised. In this paper, PBS, a population based hybrid search algorithm for the pmedian problem is introduced. The PBS algorithm uses a genetic algorithm based meta-heuristic, primarily based on cut and paste crossover operators, to generate new starting points for a hybrid local search. For larger p-median instances, PBS is able to effectively utilise a number of computer processors. It is shown empirically that PBS is able to effectively solve p-median problems for a large range of the commonly used p-median benchmark instances.
Peer Reviewed Yes
Published Yes
Publisher URI http://ieeexplore.ieee.org/servlet/opac?punumber=4625778
Alternative URI http://dx.doi.org/10.1109/CEC.2008.4630779
Copyright Statement Copyright 2008 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
ISBN 978-1-42441921-3
Conference name 2008 IEEE Congress on Evolutionary Computation
Location Hong Kong
Date From 2008-06-01
Date To 2008-06-06
URI http://hdl.handle.net/10072/22925
Date Accessioned 2009-03-06
Date Available 2009-05-13T07:45:38Z
Language en_AU
Faculty Faculty of Science, Environment, Engineering and Technology
Subject Neural, Evolutionary and Fuzzy Computation
Publication Type Conference Publications (Full Written Paper - Refereed)
Publication Type Code e1

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