Analysis of a simple particle swarm optimization system

Ender Ozcan, Chilukuri K Mohan

Research output: Chapter in Book/Report/Conference proceedingChapter

154 Scopus citations

Abstract

Particle Swarm Optimization (PSO) is a recently proposed approach, based on social behavior of organisms such as birds and fishes (Kennedy and Eberhart, 1995). Search is conducted by "flying" particles in the space. In research results reported so far, the trajectories of even a simple particle swarm optimization system have not been formally obtained. This paper provides the trajectory equations for various parameter values in closed form.

Original languageEnglish (US)
Title of host publicationIntelligent Engineering Systems Through Artificial Neural Networks
Pages253-258
Number of pages6
Volume1998
StatePublished - 1998

    Fingerprint

ASJC Scopus subject areas

  • Software

Cite this

Ozcan, E., & Mohan, C. K. (1998). Analysis of a simple particle swarm optimization system. In Intelligent Engineering Systems Through Artificial Neural Networks (Vol. 1998, pp. 253-258)