Chaos particle swarm optimization with ensemble of chaotic systems

Pluháček, Michal; Šenkeřík, Roman; Davendra, Donald David

Title:

Author:

Pluháček, Michal; Šenkeřík, Roman; Davendra, Donald David

Document type:

Peer-reviewed article (English)

Source document:

Swarm and Evolutionary Computation. 2015, vol. 25, p. 29-35

ISSN:

2210-6502 (Sherpa/RoMEO, JCR)

Journal Impact This chart shows the development of journal-level impact metrics in time

JCR	Journal Citation Reports - Impact Factor
SNIP	SCImago Source Normalized Impact per Paper
SJR	SCImago Journal Rank
IPP	SCImago Impact per Publication
CS	Scopus CiteScore

(Note: The metrics are not comparable against one another.)

DOI:

https://doi.org/10.1016/j.swevo.2015.10.008

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. © 2015 Elsevier B.V. All rights reserved.

Full text:

https://www.sciencedirect.com/science/article/pii/S2210650215000838

Show full item record

Files in this item

Name: Fulltext_1005786.pdf

Size: 1.664Mb

Format: PDF

Description: fulltext

ČSN ISO 690:2011 citation

Citace článku v časopise:
PLUHÁČEK, Michal, Roman ŠENKEŘÍK a Donald David DAVENDRA. Chaos particle swarm optimization with ensemble of chaotic systems. Swarm and Evolutionary Computation [online]. 2015, vol. 25, s. 29-35. [cit. 2024-04-26]. ISSN 2210-6502. Dostupné z: https://www.sciencedirect.com/science/article/pii/S2210650215000838.

These citations are software generated and may contain errors. To verify accuracy, check the appropriate style guide.