A Cooperative Multi-swarm Particle Swarm Optimizer Based Hidden Markov Model

TitreA Cooperative Multi-swarm Particle Swarm Optimizer Based Hidden Markov Model
Publication TypeJournal Article
Year of Publication2021
AuthorsAoun, O, A. Afia, E, Talbi, E-G
JournalStudies in Computational Intelligence
Volume906
Pagination315-334
Abstract

Particle swarm optimization (PSO) is a population-based stochastic metaheuristic algorithm; it has been successful in dealing with a multitude of optimization problems. Many PSO variants have been created to boost its optimization capabilities, in particular, to cope with more complex problems. In this paper, we provide a new approach of multi-population particle swarm optimization with a cooperation strategy. The proposed algorithm splits the PSO population into four sub swarms and attributes a main role to each one. A machine learning technique is designed as an individual level to allow each particle to determine its suitable swarm membership at each iteration. In a collective level, cooperative rules are designed between swarms to ensure more diversity and realize the better solution using a Master/Slave cooperation scheme. Several simulations are performed on a set of benchmark functions to examine the performances of this approach compared to a multitude of state of the art of PSO variants. Experiments reveal a good computational efficiency of the presented method with distinguishable performances. © 2020, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG.

URLhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85097954015&doi=10.1007%2f978-3-030-58930-1_21&partnerID=40&md5=64af5832e5e4b2f749a5c24339a3911a
DOI10.1007/978-3-030-58930-1_21
Revues: 

Partenaires

Localisation

Suivez-nous sur

         

    

Contactez-nous

ENSIAS

Avenue Mohammed Ben Abdallah Regragui, Madinat Al Irfane, BP 713, Agdal Rabat, Maroc

  Télécopie : (+212) 5 37 68 60 78

  Secrétariat de direction : 06 61 48 10 97

        Secrétariat général : 06 61 34 09 27

        Service des affaires financières : 06 61 44 76 79

        Service des affaires estudiantines : 06 62 77 10 17 / n.mhirich@um5s.net.ma

        Résidences : 06 61 82 89 77

Contacts

    

Education - This is a contributing Drupal Theme
Design by WeebPal.