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A mixed search procedure is developed in this paper based on particle swarm optimization and harmony search algorithm, in which an initial solution is first obtained by harmony search algorithm and it is contained in the group of particles and is used in the implementation of particle swarm optimization, This mixed search procedure is applied in the(More)
The values of parameters in harmony search algorithm were of importance to the success implementation of this algorithm. There was no theoretical basis for the determination of parameters, a dynamic adaptation procedure was proposed this paper in order to explore and exploit the problem space exhaustively. This new procedure was applied in the location of(More)
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