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 9, 2024)
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On tuning the design of an evolutionary algorithm for machining optimization problem
Published
Author(s)
, , , , , 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
Download Paper
Keywords
Experimental Algorithmics, I Evolutionary Algorithms, optimizationo Emachining prarmeters
Citation
Issues
If you have any questions about this publication or are having problems accessing it, please contact reflib@nist.gov.
Created May 8, 2007, Updated October 12, 2021