Particle swarm optimization: Surfing the waves

Ender Ozcan; Chilukuri K. Mohan

doi:10.1109/CEC.1999.785510

Particle swarm optimization: Surfing the waves

Ender Ozcan, Chilukuri K. Mohan

Department of Electrical Engineering & Computer Science

Research output: Contribution to conference › Paper › peer-review

381 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 language	English (US)
Pages	1939-1944
Number of pages	6
DOIs	https://doi.org/10.1109/CEC.1999.785510
State	Published - 1999
Event	1999 Congress on Evolutionary Computation, CEC 1999 - Washington, DC, United States Duration: Jul 6 1999 → Jul 9 1999

Other

Other	1999 Congress on Evolutionary Computation, CEC 1999
Country/Territory	United States
City	Washington, DC
Period	7/6/99 → 7/9/99

ASJC Scopus subject areas

Computational Mathematics

Access to Document

10.1109/CEC.1999.785510

Cite this

@conference{97ecf7ee9a1241fba57d8c3a7c88dc34,

title = "Particle swarm optimization: Surfing the waves",

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.",

author = "Ender Ozcan and Mohan, {Chilukuri K.}",

year = "1999",

doi = "10.1109/CEC.1999.785510",

language = "English (US)",

pages = "1939--1944",

note = "1999 Congress on Evolutionary Computation, CEC 1999 ; Conference date: 06-07-1999 Through 09-07-1999",

}

TY - CONF

T1 - Particle swarm optimization

T2 - 1999 Congress on Evolutionary Computation, CEC 1999

AU - Ozcan, Ender

AU - Mohan, Chilukuri K.

PY - 1999

Y1 - 1999

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=84901455863&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84901455863&partnerID=8YFLogxK

U2 - 10.1109/CEC.1999.785510

DO - 10.1109/CEC.1999.785510

M3 - Paper

AN - SCOPUS:84901455863

SP - 1939

EP - 1944

Y2 - 6 July 1999 through 9 July 1999

ER -

Particle swarm optimization: Surfing the waves

Abstract

Other

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this