Solution of job-shop scheduling problems by an idle time shortening genetic algorithm-Reference-Cited by-同舟云学术

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Solution of job-shop scheduling problems by an idle time shortening genetic algorithm

Published:2007 Issue:2 Volume:159 Page:55-63
ISSN:0424-7760
Container-title:Electrical Engineering in Japan
language:en
Short-container-title:Elect. Eng. Jpn.

Author:

Ida Kenichi,Osawa Akira

Publisher

Wiley

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology

Reference16 articles.

1. . A solution to JSP by GA using idle time shortening algorithm. Reprints of 2004 Spring JIMA Conf, p 130–131.

2. . Job-shop scheduling problem using genetic algorithm. Proc 33rd International Conference on Computers and Industrial Engineering, No. CIE732. CD-ROM, p 1–6, 2004.

3. . A solution to job-shop scheduling problem by idle time shortening type GA. Reports of 2004 IEEJ Conf on Electronics, Information, and Systems, p 481–485.

4. . A genetic algorithm with algorithm shortening idle time for job shop scheduling problem. Proc SCIS & ISIS 2004, No.THP-7-2, CD-ROM, p 1–5.

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1. Feature-based initial population generation for the optimization of job shop problems;Journal of Zhejiang University SCIENCE C;2010-09-29

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