Flow-shop scheduling problem based improved adaptive genetic algorithm

Flow-shop scheduling problem based improved adaptive genetic algorithm

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Article ID: iaor20043557
Country: China
Volume: 39
Issue: 3
Start Page Number: 203
End Page Number: 300
Publication Date: May 2003
Journal: Acta Scientiarum Naturalium Universitatis Pekinesis
Authors: ,
Keywords: flowshop, genetic algorithms
Abstract:

Two kinds of improved adaptive genetic algorithms and encoding and decoding methods are presented. The experiment shows that the improved adaptive genetic algorithms are superior to pure genetic algorithms and other adaptive genetic algorithms in quality of solution and efficiency.

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