Particle swarm optimization: Surfing the waves

Ender Ozcan, Chilukuri K Mohan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

291 Scopus citations

Abstract

A new optimization method has been proposed by J. Kennedy and R.C. Eberhart (1997; 1995), called Particle Swarm Optimization (PSO). This approach combines social psychology principles and evolutionary computation. It has been applied successfully to nonlinear function optimization and neural network training. Preliminary formal analyses showed that a particle in a simple one-dimensional PSO system follows a path defined by a sinusoidal wave, randomly deciding on both its amplitude and frequency (Y. Shi and R. Eberhart, 1998). The paper takes the next step, generalizing to obtain closed form equations for trajectories of particles in a multi-dimensional search space.

Original languageEnglish (US)
Title of host publicationProceedings of the 1999 Congress on Evolutionary Computation, CEC 1999
PublisherIEEE Computer Society
Pages1939-1944
Number of pages6
Volume3
DOIs
StatePublished - 1999
Event1999 Congress on Evolutionary Computation, CEC 1999 - Washington, DC, United States
Duration: Jul 6 1999Jul 9 1999

Other

Other1999 Congress on Evolutionary Computation, CEC 1999
CountryUnited States
CityWashington, DC
Period7/6/997/9/99

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ASJC Scopus subject areas

  • Computational Mathematics

Cite this

Ozcan, E., & Mohan, C. K. (1999). Particle swarm optimization: Surfing the waves. In Proceedings of the 1999 Congress on Evolutionary Computation, CEC 1999 (Vol. 3, pp. 1939-1944). [785510] IEEE Computer Society. https://doi.org/10.1109/CEC.1999.785510