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PUBLICATIONS

Robust Design of an Evolutionary Algorithm for Machining Optimization Problems

Published

Author(s)

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

Abstract

In this paper, a methodology for the robust design of an evolutionary algorithm is presented. The evolutionary algorithm (EA) is studied with the intention to solve machining optimization problems having highly non linear constraints and uncertainties. A 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 algorithm parameters giving robust results.
Citation
Journal of Computing and Information Science in Engineering
Pub Type
Journals

Keywords

evolutionary algorithms, experimental algorithmics, optimization of machining parameters

Citation

Vigouroux, J. , Deshayes, L. , Foufou, S. , Filliben, J. , Welsch, L. and Donmez, A. (2021), Robust Design of an Evolutionary Algorithm for Machining Optimization Problems, Journal of Computing and Information Science in Engineering (Accessed October 1, 2025)

Issues

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Created October 12, 2021
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