NDLI: A genetic algorithm for job-shop scheduling problems using job-based order crossover

Content Provider	IEEE Xplore Digital Library
Author	Ono, I. Yamamura, M. Kobayashi, S.
Copyright Year	1996
Description	Author affiliation: Dept. of Intelligence Sci., Tokyo Inst. of Technol., Japan (Ono, I.; Yamamura, M.; Kobayashi, S.)
Abstract	We propose a genetic algorithm for job shop scheduling problems. The proposed method uses a job sequence matrix. This paper introduces a new crossover, the job based order crossover (JOX), which can preserve characteristics very well. JOX preserves the order of each job on all machines between parents and their children, taking account of the dependency among machines. Since the children generated by JOX are not always feasible, we propose a technique to transform them into active schedules by using the Giffler and Thompson method (B. Giffler and G.L. Thompson, 1969). Furthermore, we introduce a mutation for maintaining a diversity of population without disrupting characteristics. By applying the proposed method to Fisher and Thompson's 10/spl times/10 and 20/spl times/5 problems (H. Fisher and G.L. Thompson, 1963), we show its usefulness.
Starting Page	547
Ending Page	552
File Size	603449
Page Count	6
File Format	PDF
ISBN	0780329023
DOI	10.1109/ICEC.1996.542658
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1996-05-20
Publisher Place	Japan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Genetic algorithms Encoding Genetic mutations Space exploration Traveling salesman problems Convergence
Content Type	Text
Resource Type	Article

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