A Multiobjective Methodology for Evaluating Genetic Operators - Archive ouverte HAL Accéder directement au contenu
Article Dans Une Revue IEEE Transactions on Magnetics Année : 2003

A Multiobjective Methodology for Evaluating Genetic Operators

Résumé

This paper is concerned with the problem of evaluating genetic algorithm (GA) operator combinations. Each GA operator, like crossover or mutation, can be implemented according to several different formulations. This paper shows that: 1) the performances of different operators are not dependent and 2) different merit figures for measuring a GA performance are conflicting. In order to account for this problem structure, a multiobjective analysis methodology is proposed. This methodology is employed for the evaluation of a new crossover operator (real-biased crossover) that is shown to bring a performance enhancement. A GA that was found by the proposed methodology is applied in an electromagnetic (EM) benchmark problem.
Fichier principal
Vignette du fichier
IEEE_T-Mag_39-3_05-2003_1321_A_multiobjective_methodology.pdf (249.1 Ko) Télécharger le fichier
Loading...

Dates et versions

hal-00082764 , version 1 (31-10-2006)

Identifiants

Citer

Ricardo H. C. Takahashi, Joao Antonio Vasconcelos, Jaime A. Ramirez, Laurent Krähenbühl. A Multiobjective Methodology for Evaluating Genetic Operators. IEEE Transactions on Magnetics, 2003, 39 (3), pp.1321-1324. ⟨10.1109/TMAG.2003.810371⟩. ⟨hal-00082764⟩
376 Consultations
180 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More