An Investigation into the Performance of Particle Swarm Optimization with Various Chaotic Maps
Joint Authors
Arasomwan, Akugbe Martins
Adewumi, Aderemi Oluyinka
Source
Mathematical Problems in Engineering
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-17, 17 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-01-20
Country of Publication
Egypt
No. of Pages
17
Main Subjects
Abstract EN
This paper experimentally investigates the effect of nine chaotic maps on the performance of two Particle Swarm Optimization (PSO) variants, namely, Random Inertia Weight PSO (RIW-PSO) and Linear Decreasing Inertia Weight PSO (LDIW-PSO) algorithms.
The applications of logistic chaotic map by researchers to these variants have led to Chaotic Random Inertia Weight PSO (CRIW-PSO) and Chaotic Linear Decreasing Inertia Weight PSO (CDIW-PSO) with improved optimizing capability due to better global search mobility.
However, there are many other chaotic maps in literature which could perhaps enhance the performances of RIW-PSO and LDIW-PSO more than logistic map.
Some benchmark mathematical problems well-studied in literature were used to verify the performances of RIW-PSO and LDIW-PSO variants using the nine chaotic maps in comparison with logistic chaotic map.
Results show that the performances of these two variants were improved more by many of the chaotic maps than by logistic map in many of the test problems.
The best performance, in terms of function evaluations, was obtained by the two variants using Intermittency chaotic map.
Results in this paper provide a platform for informative decision making when selecting chaotic maps to be used in the inertia weight formula of LDIW-PSO and RIW-PSO.
American Psychological Association (APA)
Arasomwan, Akugbe Martins& Adewumi, Aderemi Oluyinka. 2014. An Investigation into the Performance of Particle Swarm Optimization with Various Chaotic Maps. Mathematical Problems in Engineering،Vol. 2014, no. 2014, pp.1-17.
https://search.emarefa.net/detail/BIM-452187
Modern Language Association (MLA)
Arasomwan, Akugbe Martins& Adewumi, Aderemi Oluyinka. An Investigation into the Performance of Particle Swarm Optimization with Various Chaotic Maps. Mathematical Problems in Engineering No. 2014 (2014), pp.1-17.
https://search.emarefa.net/detail/BIM-452187
American Medical Association (AMA)
Arasomwan, Akugbe Martins& Adewumi, Aderemi Oluyinka. An Investigation into the Performance of Particle Swarm Optimization with Various Chaotic Maps. Mathematical Problems in Engineering. 2014. Vol. 2014, no. 2014, pp.1-17.
https://search.emarefa.net/detail/BIM-452187
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-452187