A modified particle swarm optimization for correlated phenomena

Arefi, Ali & Haghifam, Mahmoud Reza (2011) A modified particle swarm optimization for correlated phenomena. Applied Soft Computing, 11(8), pp. 4640-4654.

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The wide applicability of correlation analysis inspired the development of this paper. In this paper, a new correlated modified particle swarm optimization (COM-PSO) is developed. The Correlation Adjustment algorithm is proposed to recover the correlation between the considered variables of all particles at each of iterations. It is shown that the best solution, the mean and standard deviation of the solutions over the multiple runs as well as the convergence speed were improved when the correlation between the variables was increased. However, for some rotated benchmark function, the contrary results are obtained. Moreover, the best solution, the mean and standard deviation of the solutions are improved when the number of correlated variables of the benchmark functions is increased. The results of simulations and convergence performance are compared with the original PSO. The improvement of results, the convergence speed, and the ability to simulate the correlated phenomena by the proposed COM-PSO are discussed by the experimental results.

Impact and interest:

2 citations in Scopus
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2 citations in Web of Science®

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ID Code: 68731
Item Type: Journal Article
Refereed: Yes
Keywords: Particle swarm optimization, Correlation coefficient, Mutation, Secondary PSO
DOI: 10.1016/j.asoc.2011.07.018
ISSN: 1568-4946
Divisions: Current > Schools > School of Electrical Engineering & Computer Science
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Copyright Owner: Copyright 2011 Elsevier Science Publishers B. V. Amsterdam, The Netherlands
Deposited On: 19 Mar 2014 03:18
Last Modified: 04 Dec 2015 02:33

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