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Comparison between genetic algorithms and particle swarm optimization

1998; Springer Science+Business Media; Linguagem: Inglês

10.1007/bfb0040812

1611-3349

Russell C. Eberhart, Yuhui Shi,

Advanced Multi-Objective Optimization Algorithms

This paper compares two evolutionary computation paradigms: genetic algorithms and particle swarm optimization. The operators of each paradigm are reviewed, focusing on how each affects search behavior in the problem space. The goals of the paper are to provide additional insights into how each paradigm works, and to suggest ways in which performance might be improved by incorporating features from one paradigm into the other.