| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 494014 | Swarm and Evolutionary Computation | 2015 | 7 Pages |
Abstract
In this study the Chaotic Particle Swarm Optimization (CPSO) algorithm with six simultaneously used chaotic pseudo-random number generators (CPRNG) is investigated. The implementation of chaotic sequences is detailed and discussed. The Ensemble learning approach is used for assigning CPRNGs to particles. The results of proposed algorithm on IEEE CEC′13 Real-Parameter Single Objective Optimization benchmark set are presented and compared with the SPSO-2011.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science (General)
Authors
Michal Pluhacek, Roman Senkerik, Donald Davendra,