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

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Author(s): Jean-Louis Vigouroux; Sebti Foufou; Laurent Deshayes; James J. Filliben; Lawrence A. Welsch; M. A. Donmez;
Title: On tuning the design of an evolutionary algorithm for machining optimization problem
Published: May 09, 2007
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: Proceedings of the fourth International Conference on Informatics in Control
Location: Angers, FR
Dates: May 9-12, 2007
Keywords: Experimental Algorithmics;I Evolutionary Algorithms;optimizationo Emachining prarmeters
Research Areas: Manufacturing
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