Skip to main content
U.S. flag

An official website of the United States government

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS
A lock ( ) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.

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

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 April 15, 2024)
Created October 12, 2021