CiteWeb id: 19950000000

CiteWeb score: 39658

DOI: 10.1002/9780470612163.ch4

A concept for the optimization of nonlinear functions using particle swarm methodology is introduced. The evolution of several paradigms is outlined, and an implementation of one of the paradigms is discussed. Benchmark testing of the paradigm is described, and applications, including nonlinear function optimization and neural network training, are proposed. The relationships between particle swarm optimization and both artificial life and genetic algorithms are described.

The publication "Particle swarm optimization" is placed in the Top 100 of the best publications in CiteWeb. Also in the category Computer Science it is included to the Top 100. Additionally, the publicaiton "Particle swarm optimization" is placed in the Top 100 among other scientific works published in 1995.
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