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Title: | Comparing selected PSO modifications on CEC 15 benchmark set |
Author: | Pluháček, Michal; Kadavý, Tomáš; Šenkeřík, Roman; Viktorin, Adam; Zelinka, Ivan |
Document type: | Peer-reviewed article (English) |
Source document: | 2016 IEEE Symposium Series on Computational Intelligence, SSCI 2016. 2016 |
ISBN: | 978-1-5090-4240-1 |
DOI: | https://doi.org/10.1109/SSCI.2016.7850279 |
Abstract: | In this paper we choose to compare three popular modifications of Particle Swarm Optimization (PSO) using the recent CEC'15 benchmark set. Three different approaches for PSO modification are compared: the heterogeneous swarm, diversity-guided swarm and orthogonal learning based approach. The goal is to provide up-to date comparison of the performance of these methods on a state-of-art benchmark set and highlight the differences in performance on different types of fitness functions. The experiments were carried out according to CEC benchmark rules and statistically evaluated. © 2016 IEEE. |
Full text: | http://ieeexplore.ieee.org/document/7850279/ |
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