On tuning the design of an evolutionary algorithm for machining optimization problems

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

Research output: Contribution to conferencePaper

Abstract

In this paper, a novel method for tuning the design of an evolutionary algorithm (EA) is presented. The ADT method was built from a practical point of view, for including an EA into a framework for optimizing machining processes under uncertainties. The optimization problem studied, the algorithm, and the computer experiments made using the ADT method are presented with many details, in order to enable the comparison of this method with actual methods available to tune the desing of evolutionary algorithms.

Original languageEnglish (US)
Pages240-247
Number of pages8
StatePublished - Dec 1 2007
Event4th International Conference on Informatics in Control, Automation and Robotics, ICINCO 2007 - Angers, France
Duration: May 9 2007May 12 2007

Other

Other4th International Conference on Informatics in Control, Automation and Robotics, ICINCO 2007
CountryFrance
CityAngers
Period5/9/075/12/07

Keywords

  • Evolutionary algorithms
  • Experimental algorithmes
  • Optimization of machining parameters

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Human-Computer Interaction
  • Software
  • Control and Systems Engineering
  • Electrical and Electronic Engineering

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  • Cite this

    Vigouroux, J. L., Foufou, S., Deshayes, L., Filliben, J. J., Welsch, L. A., & Alkan Donmez, M. (2007). On tuning the design of an evolutionary algorithm for machining optimization problems. 240-247. Paper presented at 4th International Conference on Informatics in Control, Automation and Robotics, ICINCO 2007, Angers, France.