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Proceedings Paper

Genetic algorithm and the application for Job-Shop group scheduling
Author(s): Jianzhong Mao; Zhiming Wu
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Paper Abstract

Genetic algorithm (GA) is a heuristic and random search technique mimicking nature. This paper first presents the basic principle of GA, the definition and the function of the genetic operators, and the principal character of GA. On the basis of these, the paper proposes using GA as a new solution method of the job-shop group scheduling problem, discusses the coded representation method of the feasible solution, and the particular limitation to the genetic operators.

Paper Details

Date Published: 28 August 1995
PDF: 6 pages
Proc. SPIE 2620, International Conference on Intelligent Manufacturing, (28 August 1995); doi: 10.1117/12.217475
Show Author Affiliations
Jianzhong Mao, Shanghai Jiaotong Univ. (China)
Zhiming Wu, Shanghai Jiaotong Univ. (China)

Published in SPIE Proceedings Vol. 2620:
International Conference on Intelligent Manufacturing
Shuzi Yang; Ji Zhou; Cheng-Gang Li, Editor(s)

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