On the non linear dynamics of the global best particle in particle swarm optimization

Authors:
Dipankar Maity;Udit Halder;Swagatam Das;Bijaya Ketan Panigrahi
Affiliations:
Dept. of Electronics and Telecomm. Engineering, Jadavpur University, Kolkata, India;Dept. of Electronics and Telecomm. Engineering, Jadavpur University, Kolkata, India;Electronics and Communication Sciences Unit, Indian Statistical Institute, Kolkata, India;Dept. of Electrical Engineering, Indian Institute of Technology, Delhi, India
Venue:
SEMCCO'12 Proceedings of the Third international conference on Swarm, Evolutionary, and Memetic Computing
Year:
2012

Citing 4
Cited 0

The particle swarm optimization algorithm: convergence analysis and parameter selection

Information Processing Letters
The generalized PSO: a new door to PSO evolution

Journal of Artificial Evolution and Applications - Particle Swarms: The Second Decade
The particle swarm - explosion, stability, and convergence in amultidimensional complex space

IEEE Transactions on Evolutionary Computation
The fully informed particle swarm: simpler, maybe better

IEEE Transactions on Evolutionary Computation

Quantified Score

Hi-index	0.00

Visualization

Abstract

The dynamics of Particle swarm optimization has been developed from the collective behavior of the social creatures like fish schooling and gradually has become a powerful global optimization technique. In this paper we do the analysis on a continuous variant of PSO. The non linear dynamics of the global best particle is studied here and the exponential convergence is ensured. The effects of the different control parameters on the convergence of the global best particle are also studied.