Title :
A fresh Particle Swarm Optimizations: A position paper
Author :
Devi, Swagatika ; Jagadev, Alok Kumar ; Dehuri, Satchidananda ; Mall, Rajib
Author_Institution :
Dept. of Comput. Sci. & Eng., SOA Univ., Bhubaneswar, India
Abstract :
This paper contributes a novel Particle Swarm Optimization (PSO) method. The particle is updated not only by the best position in history (pbest) and the best position among all the particles in the swarm (gbest), but also using the position that is nearest neighbor of pbest. Additionally, we introduce a modified PSO algorithm based on the fuzzy clustering of particles to communication with the nearest neighbor for reducing the premature convergence and in sequel enhance the capability of global exploration. We validate our methods by an extensive experimental study on four benchmark test functions and compare the result with basic PSO.
Keywords :
fuzzy set theory; particle swarm optimisation; best position; fuzzy particles clustering; global exploration; particle swarm optimizations; Benchmark testing; Clustering algorithms; Communications technology; Computer science; Equations; History; Nearest neighbor searches; Particle swarm optimization; Semiconductor optical amplifiers; Stochastic processes; Particle swarm optimization; fuzzy clustering; nearest neighborhood;
Conference_Titel :
Nature & Biologically Inspired Computing, 2009. NaBIC 2009. World Congress on
Conference_Location :
Coimbatore
Print_ISBN :
978-1-4244-5053-4
DOI :
10.1109/NABIC.2009.5393752