Presentation 1999/5/28
Using Genetic Algorithm for Job-shop Scheduling Problem with Reentrant Product Flows
Kazuo Nose, Ayako Hiramatsu, Masami Konishi,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) A genetic algorithm for a large scale job-shop scheduling problem with reentrant product flows is considered. The coding and decoding methods which satisfy order restrictions concerning the reentrant product flows are proposed. Numerical examples are presented showing the performance of the proposed methods.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Genetic algorithm / job-shop scheduling / reentrant product flow / order restriction
Paper # AI99-11
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Conference Information
Committee AI
Conference Date 1999/5/28(1days)
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Registration To Artificial Intelligence and Knowledge-Based Processing (AI)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Using Genetic Algorithm for Job-shop Scheduling Problem with Reentrant Product Flows
Sub Title (in English)
Keyword(1) Genetic algorithm
Keyword(2) job-shop scheduling
Keyword(3) reentrant product flow
Keyword(4) order restriction
1st Author's Name Kazuo Nose
1st Author's Affiliation Osaka Sangyo Univ.()
2nd Author's Name Ayako Hiramatsu
2nd Author's Affiliation Osaka Sangyo Univ.
3rd Author's Name Masami Konishi
3rd Author's Affiliation Kobe Steel, Ltd.
Date 1999/5/28
Paper # AI99-11
Volume (vol) vol.99
Number (no) 96
Page pp.pp.-
#Pages 8
Date of Issue