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Electrical Engineering in Japan
Article . 2011 . Peer-reviewed
License: Wiley Online Library User Agreement
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Flexible job‐shop scheduling problem by genetic algorithm

Authors: Ida, Kenichi; Oka, Kensaku;

Flexible job‐shop scheduling problem by genetic algorithm

Abstract

AbstractThe Flexible Job‐shop Scheduling Problem is an expansion of the traditional Job‐shop Scheduling Problem in which an operation can be processed by one or more machines. The purpose of this problem is to look for the smallest makespan. For that purpose, it is necessary to decide the optimal assignment of machines to operations and the order of operations on machines. In this paper, we focus on the maximum of the workloads for all machines and propose a new method of survival selection, a method of creation of the initial solution, mutation, and a method of escape to the genetic algorithm for this problem. The efficacy of our method is demonstrated by comparing its numerical experiment results with those of other methods. © 2011 Wiley Periodicals, Inc. Electr Eng Jpn, 177(3): 28–35, 2011; Published online in Wiley Online Library (wileyonlinelibrary.com). DOI 10.1002/eej.21194

Keywords

フレキシブルジョブショップスケジューリング, combinatorial optimization problem, 遺伝的アルゴリズム, genetic algorithm, flexible job-shop scheduling, 組合せ最適化問題

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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
9
Average
Top 10%
Average
bronze