| 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 |
| Location: |
Angers, FR |
| Dates: |
May 9-12, 2007 |
| Keywords: |
Experimental Algorithmics;I Evolutionary Algorithms;optimizationo Emachining prarmeters |
| Research Areas: |
Manufacturing |
| PDF version: |
 Click here to retrieve PDF version of paper (137KB) |
