par Bugajski, Iwan;Byrski, Aleksander;Kisiel-Dorohinicki, Marek;Lenaerts, Tom ;Samson, Dana;Indurkhya, Bipin
Référence Procedia Computer Science, 101, page (177-186)
Publication Publié, 2016
Référence Procedia Computer Science, 101, page (177-186)
Publication Publié, 2016
Article révisé par les pairs
Résumé : | In the paper a modification of a Socio-cognitive Particle Swarm Optimization algorithm, recently proposed by the authors, is presented. This modification consists in devising a mechanism for dynamic adaptation of the population structure of the swarm. Besides the design and rationale for the approach, referring to the state-of-the-art PSO original algorithm and several of its modifications, experimental results tackling popular benchmark functions are presented and discussed in detail. |