Particle Swarm Optimization: Method and Applications
• each particle knows the position of the best particle in the current swarm, . This is the particle with the lowest fitness value, (closest to the roost). • in the simulation, when and are set high, the flock is sucked ... • Venter, G. and Sobieski, J., “Particle Swarm Optimization,” ...
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