On the analysis of crossover schemes for Genetic Algorithms applied to the job shop scheduling problem

Publikation: Beitrag in Buch/Bericht/TagungsbandKonferenzbeitragBegutachtung

2 Zitate (Scopus)

Abstract

In this paper we perform a detailed analysis of crossover operators and solution decoding schemes for Genetic Algorithms (GAs) applied to the Job Shop Scheduling Problem (JSSP). Based on the job sequence matrix encoding we investigate in how far existing crossover operators are able to preserve characteristics from parent individuals. Assuming that individuals have to represent active solutions, repair techniques (forcing) have to be applied during the decoding process. We study the effects of different decoding schemes and forcing strategies and point out to what extent they cause disruption of crossover results. Finally we present computational results for selected benchmark problems.

OriginalspracheEnglisch
TitelWMSCI 2005 - The 9th World Multi-Conference on Systemics, Cybernetics and Informatics, Proceedings
Herausgeber (Verlag)International Institute of Informatics and Systemics
Seiten236-241
Seitenumfang6
ISBN (Print)9806560582, 9789806560581
PublikationsstatusVeröffentlicht - 2005
Veranstaltung9th World Multi-Conference on Systemics, Cybernetics and Informatics, WMSCI 2005 - Orlando, FL, USA/Vereinigte Staaten
Dauer: 10 Juli 200513 Juli 2005

Publikationsreihe

NameWMSCI 2005 - The 9th World Multi-Conference on Systemics, Cybernetics and Informatics, Proceedings
Band6

Konferenz

Konferenz9th World Multi-Conference on Systemics, Cybernetics and Informatics, WMSCI 2005
Land/GebietUSA/Vereinigte Staaten
OrtOrlando, FL
Zeitraum10.07.200513.07.2005

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