Particle Swarm Optimization: Method and Applications
• Initial Swarm – No well established guidelines for swarm size, normally 15 to 30. – particles are randomly distributed across the design space. where and are vectors of lower and upper limit values respectively. – Evaluate the fitness of each particle and store:
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www.cs.cmu.eduPARTICLE SWARM OPTIMIZATION (PSO) • A population based optimization technique inspired by social behavior of bird flocking/roosting or fish schooling • A PSO swarm member/agent (a particle) iteratively modifies a complete solution J. Kennedy and R. Eberhart, Particle Swarm Optimization. Proceedings of the Fourth IEEE