bedboudi, amina université badji mokhtar-annaba - laboratoire de recherché en informatique lri, Annaba, algeria , bouras, mohamed cherif université badji mokhtar-annaba - département de mathématique, Annaba, Algeria

Amélioration de l algorithme de chauve-souris par modification de règles d’évolution et introduction de mécanisme de croisement

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algorithm is one of the promising meta-heuristics recently proposed for solving optimization problems. It is based on the simulation of the echolocation behavior of bats. In this paper, we present an improvement of this algorithm by an appropriate modification of the rules of evolution and the introduction of a crossover mechanism. We show that this new algorithm improves the results achieved by the standard bat algorithm and the recently published algorithms that modify it. Its application on five benchmark functions widely used in the literature clearly and precisely shows that the achieved results are much better.

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Meta , Heuristics , Bat Algorithm, Optimization Problems, Objective Function

Revue Des Sciences Et De La Technologie, Synthèse

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