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Intelligent Engineering Systems through Artificial Neural Networks
ISBN:
9780791802953
No. of Pages:
636
Publisher:
ASME Press
Publication date:
2009
eBook Chapter
42 Multiobjective Evolutionary Algorithm Approach for Job Shop Rescheduling Problem
By
Xinchang Hao
Graduate School of IPS Waseda University Kitakyushu 808-0135 , Japan ; haoxc@ruri.waseda.jp
,
Xinchang Hao
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Mitsuo Gen
Graduate School of IPS Waseda University Kitakyushu 808-0135 , Japan ; gen@waseda.jp
,
Mitsuo Gen
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Runwei Cheng
IPS Research Center Waseda University Kitakyushu 808-0135 , Japan ; crw@kurenai.waseda.jp
Runwei Cheng
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Page Count:
8
-
Published:2009
Citation
Hao, X, Gen, M, & Cheng, R. "Multiobjective Evolutionary Algorithm Approach for Job Shop Rescheduling Problem." Intelligent Engineering Systems through Artificial Neural Networks. Ed. Dagli, CH, Bryden, KM, Corns, SM, Gen, M, Tumer, K, & Süer, G. ASME Press, 2009.
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In recent years, rescheduling attracted considerable attention, motivated by both important practical issues and interesting research problems. In this paper we discuss a multi-objective rescheduling problem. A set of original jobs has been scheduled to minimize a given cost objective, and then several sets of new jobs arrive unexpectedly. The objective in the original schedule still needs to be minimized over all of the jobs. However, this will change the original schedule, reducing customer satisfaction and creating havoc with the original resource allocations. Thus, the tradeoff between the scheduling cost and the disruption cost must be considered in detail. We...
Abstract
Introduction
Mathematical Formulation
Multiobjective GA
Experiments and Discussion
Conclusions
References
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