A comparative study of genetic algorithm components in simulation-based optimisation

Birkan Can, Andreas Beham, Cathal Heavey

Research output: Chapter in Book/Report/Conference proceedingsConference contributionpeer-review

24 Citations (Scopus)

Abstract

In this paper, we present a comparative study of different stochastic components of genetic algorithms for simulationbased optimisation of the buffer allocation problem. We explore the effects of elements such as operators, fitness assignment strategies and elitism. Three different recombination operators, incorporated with constraint handling mechanisms such as repair and penalty functions, are examined. Under the shed of the experiments, we incorporate problem specific knowledge to further enhance the practicality of GA in decision making for buffer allocation problem.

Original languageEnglish
Title of host publicationProceedings of the 2008 Winter Simulation Conference, WSC 2008
Pages1829-1837
Number of pages9
DOIs
Publication statusPublished - 2008
Event2008 Winter Simulation Conference, WSC 2008 - Miami, FL, United States
Duration: 7 Dec 200810 Dec 2008

Publication series

NameProceedings - Winter Simulation Conference
ISSN (Print)0891-7736

Conference

Conference2008 Winter Simulation Conference, WSC 2008
Country/TerritoryUnited States
CityMiami, FL
Period07.12.200810.12.2008

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