A multi-crossover genetic algorithm and its application in job shop scheduling system

A multi-crossover genetic algorithm and its application in job shop scheduling system

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Article ID: iaor2003515
Country: China
Volume: 29
Issue: 4
Start Page Number: 19
End Page Number: 23
Publication Date: Oct 2001
Journal: Journal of Henan Normal University
Authors: ,
Keywords: genetic algorithms
Abstract:

In order to improve the performance of traditional genetic algorithms, this paper puts forward a multi-crossover operator. This method has some advantages such as generality, keeping better genetic performance and avoiding premature termination. At the end of the paper, an example concerning job shop is illustrated in order to introduce the application of this method. The result of the experiment is also analyzed.

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