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Particle Swarm Optimizer in c sharp
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Particle swarm optimization (PSO) is a population based stochastic optimization technique developed by Dr. Eberhart and Dr. Kennedy in 1995, inspired by social behavior of bird flocking or fish schooling. Each particle keeps track of its coordinates
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PARTICLE SWARM OPTIMIZER AND SOME BENCHMARK PROBLEM FOR GLOBAL OPTIMIZATION ALGORTIRHMS, IMPLEMENTED IN MATLAB DIM, LOW AND UP LIMITS CAN BE FOUND IN RELATED FILE
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In implementing this project, four types of gray wolves like Alpha, Beta, Delta and Omega is the use to simulate the leadership hierarchy in which the three main steps of the hunt, searching for prey, surrounded prey, and attack the bait, are impleme
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In this paper, the dynamic multi-swarm particle swarm optimizer (DMS-PSO) is improved by hybridizing
it with the harmony search (HS) algorithm and the resulting algorithm is abbreviated as DMS-PSO-HS.
We present a novel approach to merge the HS alg
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