The Introduction of Particle Swarm Optimization
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Describes the basic PSO algorithm and improved algorithm for some typical:1)Describes the overall neighborhood and local neighborhood model the impact of PSO.the experiment PSO of overall neighborhood disappears fast,but apt to fall into some minimum;Because the particle inclines to search for and disappear slowly in different some areas among some neighborhood mode PSO,but can be avoiding some minimum than the great degree;2)Describes chao PSO,Method this utilize randomness of Chaos,lead particle and community that make up search for the overall situation to be optimum to solve all over calendar,regularity characteristic.
[1] Russell C. Eberhart,et al. A discrete binary version of the particle swarm algorithm , 1997, 1997 IEEE International Conference on Systems, Man, and Cybernetics. Computational Cybernetics and Simulation.
[2] Mauro Birattari,et al. Swarm Intelligence , 2012, Lecture Notes in Computer Science.
[3] M. Clerc,et al. The swarm and the queen: towards a deterministic and adaptive particle swarm optimization , 1999, Proceedings of the 1999 Congress on Evolutionary Computation-CEC99 (Cat. No. 99TH8406).