Optimization of multipass turning operations with genetic algorithms: a note

Optimization of multipass turning operations with genetic algorithms: a note

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Article ID: iaor20041554
Country: United Kingdom
Volume: 41
Issue: 14
Start Page Number: 3385
End Page Number: 3388
Publication Date: Jan 2003
Journal: International Journal of Production Research
Authors: ,
Keywords: genetic algorithms
Abstract:

A paper by Onwubolu and Kumalo (2001) in this journal compared the effectiveness of genetic algorithms with several solution algorithms in solving machining condition optimization problems. By using the problem of Chen and Tsai (1996), they concluded that genetic algorithms significantly outperform simulated annealing. The present note points out that Onwubolu and Kumalo incorrectly handled the machining model. It also discusses the string representation of genetic algorithms used by Onwubolu and Kumalo and corrects some typographical errors. [See abstract 80621.]

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