Particle Swarm Optimization with Adaptive Mutation
A new adaptive mutation particle swarm optimizer, which is based on the variance of the population’s fitness, is presented in this paper. During the running time, the mutation probability for the current best particle is determined by two factors: the variance of the population’s fitness and the cur...
|Published in:||Frontiers of electrical and electronic engineering in China, Vol. 1, No. 1 (2006), p. 99-104|
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|Item Description:||Translated from "Particle Swarm Optimization with Adaptive Mutation” published in Acta Electronica Sinica, 2004, 32(3): 416–420 (in Chinese)|
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