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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|
|Dates:||May 9-12, 2007|
|Keywords:||Experimental Algorithmics,I Evolutionary Algorithms,optimizationo Emachining prarmeters|
|PDF version:||Click here to retrieve PDF version of paper (141KB)|