Transactions of the Japanese Society for Artificial Intelligence
Online ISSN : 1346-8030
Print ISSN : 1346-0714
ISSN-L : 1346-0714
Technical Papers
Innately Split Model for Job-shop Scheduling Problem
Kokolo IkedaSigenobu Kobayashi
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2002 Volume 17 Issue 5 Pages 530-538

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Abstract
Job-shop Scheduling Problem (JSP) is one of the most difficult benchmark problems. GA approaches often fail searching the global optimum because of the deception UV-structure of JSPs. In this paper, we introduce a novel framework model of GA, Innately Split Model (ISM) which prevents UV-phenomenon, and discuss on its power particularly. Next we analyze the structure of JSPs with the help of the UV-structure hypothesys, and finally we show ISM's excellent performance on JSP.
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© 2002 JSAI (The Japanese Society for Artificial Intelligence)
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