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
Conference Dates: May 9-12, 2007
Conference Location: Angers, FR
Pub Type: Conferences
Experimental Algorithmics, I Evolutionary Algorithms, optimizationo Emachining prarmeters