The particle swarm - explosion, stability, and convergence in amultidimensional complex space
IEEE Transactions on Evolutionary Computation
Biases in Particle Swarm Optimization
International Journal of Swarm Intelligence Research
Particle swarm optimization almost surely finds local optima
Proceedings of the 15th annual conference on Genetic and evolutionary computation
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We study the frequently observed phenomenon of stagnation in the context of particle swarm optimization (PSO). We show that in certain situations the particle swarm is likely to move almost parallel to one of the axes, which may cause stagnation. We provide an experimentally supported explanation in terms of a potential of the swarm and are therefore able to adapt the PSO algorithm slightly such that this weakness can be avoided.