On tuning the design of an evolutionary algorithm for machining optimization problem

Published

May 9, 2007

Author(s)

Jean-Louis Vigouroux, Sebti Foufou, Laurent Deshayes, James J. Filliben, Lawrence A. Welsch, Alkan Donmez

Abstract

In this paper, a methodology for tuning the design of an evolutionary algorithm (EA) is presented. An EA for solving machining optimization probfems having highly non-linear constraints and uncertainties is studied. A conventional turning optimization problem, solved previously with classic optimization algorithms, serves as a basis for the investigation of the EA. The parameters of the problem now can be modified in a certain range, and statistical engineering methods are used to find a unique set of I algorithm parameters giving robust results.

Proceedings Title

Proceedings of the fourth International Conference on Informatics in Control

Report Number

823038

Conference Dates

May 9-12, 2007

Conference Location

Angers, 1, FR

Pub Type

Conferences

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Keywords

Experimental Algorithmics, I Evolutionary Algorithms, optimizationo Emachining prarmeters

Citation

Vigouroux, J. , Foufou, S. , Deshayes, L. , Filliben, J. , Welsch, L. and Donmez, A. (2007), On tuning the design of an evolutionary algorithm for machining optimization problem, Proceedings of the fourth International Conference on Informatics in Control, Angers, 1, FR, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=823038 (Accessed October 13, 2025)