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Particle Swarm Optimization: Method and Applications

Particle Swarm Optimization: Method and Applications

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– can solve discontinuous, mutlimodal, non-convex problems. – includes some probabilistic features in the motion of particles. a–i s population-based search method, i.e. it moves from a set of points (particles’ positions) to another set of points with likely improvement in one iteration (move). [is that good or bad ??]

  Particles, Optimization, Swarm, Discontinuous, Particle swarm optimization

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