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Titre: | A cooperative learning strategy with multiple search mechanisms for improved artificial bee colony optimization |
Auteur(s): | Harfouchi, Fatima Habbi, Hacene |
Mots-clés: | Artificial Bee Colony (ABC) Algorithm Cooperative learning Search mechanism Swarm intelligence |
Date de publication: | 2015 |
Editeur: | IEEE |
Collection/Numéro: | Intelligent Systems Design and Applications (ISDA), 2015 15th International Conference on/ (2015);pp. 434-439 |
Résumé: | Artificial bee colony (ABC) optimization is a swarm based stochastic search strategy inspired by the foraging behavior of honeybees. Due to its simplicity and promising optimization capability, the ABC concept has devoted special interest with an increasing number of applications to scientific and engineering optimization problems. As an open research field, many researchers attempted to improve the performance of ABC algorithm through new algorithmic frameworks or by introducing modifications on the basic model. This paper presents an improved version of ABC algorithm based on a cooperative learning strategy with modified search mechanisms incorporated at both employed and onlooker levels. The proposed approach referred to as CLABC (Cooperative learning ABC) is tested on benchmark functions for numerical optimization. The results demonstrate the good performance and convergence of the proposed algorithm over other existing ABC variants |
URI/URL: | http://dlibrary.univ-boumerdes.dz:8080/handle/123456789/4412 |
Collection(s) : | Publications Internationales
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