A modified particle swarm optimization for correlated phenomena

Authors:
Ali Arefi;Mahmoud Reza Haghifam
Affiliations:
Department of Electrical and Computer Engineering, Tarbiat Modares University, P.O. Box 14115-143, Tehran, Iran;Department of Electrical and Computer Engineering, Tarbiat Modares University, P.O. Box 14115-143, Tehran, Iran
Venue:
Applied Soft Computing
Year:
2011

Citing 16
Cited 0

Recent approaches to global optimization problems through Particle Swarm Optimization

Natural Computing: an international journal
Rotated test problems for assessing the performance of multi-objective optimization algorithms

Proceedings of the 8th annual conference on Genetic and evolutionary computation
Simulation and the Monte Carlo Method (Wiley Series in Probability and Statistics)

Simulation and the Monte Carlo Method (Wiley Series in Probability and Statistics)
Novel orthogonal momentum-type particle swarm optimization applied to solve large parameter optimization problems

Journal of Artificial Evolution and Applications - Particle Swarms: The Second Decade
A novel and effective particle swarm optimization like algorithm with extrapolation technique

Applied Soft Computing
Hybridizing particle swarm optimization with differential evolution for constrained numerical and engineering optimization

Applied Soft Computing
Tackling high dimensional nonseparable optimization problems by cooperatively coevolving particle swarms

CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
Frankenstein's PSO: a composite particle swarm optimization algorithm

IEEE Transactions on Evolutionary Computation
Adaptive particle swarm optimization

IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Stochastic approximation driven particle swarm optimization with simultaneous perturbation -Who will guide the guide?

Applied Soft Computing
Stochastic ranking for constrained evolutionary optimization

IEEE Transactions on Evolutionary Computation
The particle swarm - explosion, stability, and convergence in amultidimensional complex space

IEEE Transactions on Evolutionary Computation
A Cooperative approach to particle swarm optimization

IEEE Transactions on Evolutionary Computation
Self-organizing hierarchical particle swarm optimizer with time-varying acceleration coefficients

IEEE Transactions on Evolutionary Computation
Particle Swarm Optimization: Basic Concepts, Variants and Applications in Power Systems

IEEE Transactions on Evolutionary Computation
Coevolutionary Particle Swarm Optimization Using Gaussian Distribution for Solving Constrained Optimization Problems

IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics

Quantified Score

Hi-index	0.00

Visualization

Abstract

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.