Title :
Particle swarm optimization: surfing the waves
Author :
Ozcan, Ender ; Mohan, Chilukuri K.
Author_Institution :
Dept. of Inf. & Comput. Sci., Yeditepe Univ., Istanbul, Turkey
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
Keywords :
evolutionary computation; psychology; random processes; search problems; closed form equations; evolutionary computation; formal analyses; multi-dimensional search space; neural network training; nonlinear function optimization; one-dimensional PSO system; optimization method; particle swarm optimization; particle trajectories; sinusoidal wave; social psychology principles; surfing; Computer science; Educational institutions; Equations; Frequency; Genetic algorithms; Marine animals; Optimization methods; Organisms; Particle swarm optimization; Psychology;
Conference_Titel :
Evolutionary Computation, 1999. CEC 99. Proceedings of the 1999 Congress on
Conference_Location :
Washington, DC
Print_ISBN :
0-7803-5536-9
DOI :
10.1109/CEC.1999.785510
