Swarm Optimization Algorithm Inspired in the Behavior of the Social-Spider for Microwave Filters Optimization

Type : Article de conférence
Auteur(s) :  Chahrazad Erredir, Mohamed Lahdi Riabi, Emir Bouarroudj, Halima Ammari
Année :  2016
Domaine : Sciences des matériaux
Conférence: 7th African Conference on Non Destructive Testing (ACNDT) & the 5th International Conference on NDT and Materials Industry and Alloys (IC-WNDT-MI)
Lieu de la conférence:  Oran, Algeria
Résumé en PDF :  (résumé en pdf)
Fulltext en PDF :  (.pdf)
Mots clés :  optimization, microwave filter, social spider optimization

Résumé : 

In this paper, a recent swarm optimization algorithm on the simulation of the cooperative behavior of social spiders, called the Social Spider Optimization (SSO) is proposed for the optimization of microwave filters. In order to illustrate the proficiency and robustness of this optimization, it iscompared to other literature of evolutionary algorithms, particle swarm optimization (PSO) and teachingl earning-based optimization (TLBO). The outcome shows a high performance of the proposed method.