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In this paper few variations over the standard PSO algorithm, referred to as Meta-PSO, aimed to enhance the global search capability, and, therefore, to improve the algorithm convergence, are presented. In recently published open literature the results of the application of the Meta-PSO to the optimization of single-objective problems have been shown. Here we will prove their enhanced properties with...
Meta-PSO has been recently developed as an enhancement of the particle swarm optimization (PSO) method and it has been proposed to be applied to different electromagnetic optimization problems. Because of the complexity of this kind of problems, the associated cost function is in general computationally expensive. A fast convergence of the optimization algorithm is hence required to attain results...
Some variations of the particle swarm optimization are here proposed in order to increase the efficiency of the search over the solution space with a negligible overhead in the algorithm complexity and speed. The recently developed Differentiated and Undifferentiated Meta-PSO Technique have been compared in terms of capability and speed of convergence by their application to different test functions;...
The particle swarm optimization (PSO) method has been successfully applied to different electromagnetic optimization problems. Because of the complexity of this kind of problems, the associated cost function is in general computationally expensive. A fast convergence of the optimization algorithm is hence required to attain results in short time. Here few variations over the standard algorithm, referred...
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