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A Cooperative Approach using Particle Swarm Optimization with Adaptive Behavior
Anais do 10. Congresso Brasileiro de Inteligência Computacional
Particle Swarm Optimization (PSO) has been widely used to solve real world optimization problems. Since the original PSO fails to maintain the diversity along the search process, some PSO variations have been proposed to overcome this limitation. The recently introduced Adaptive Particle Swarm Optimization (APSO) presents faster convergence, while maintaing the population diversity, by including into the PSO algorithm the auto-adaptation of the parameters according to the current spatialdoi:10.21528/cbic2011-26.6 fatcat:np6dhulftvgnxf4yls4liil4gm