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This paper introduces a modified particle swarm optimization (MPSO) algorithm which gets benefit from all remarkable advantages of conventional PSO (CPSO) in addition to lower possibility of catching in premature convergence and higher accuracy. In this paper, influence of CPSO parameters changes on the output accuracy is firstly represented and studied; then, a modified PSO called MPSO is studied...
This paper presents a novel particle swarm optimizer combined with roulette selection operator to solve the economic load dispatch (ELD) problem of thermal generators of a power system. Several factors such as quadratic cost functions with valve point loading, transmission loss, generator ramp rate limits and prohibited operating zone are considered in the computation models. This new approach provides...
This paper introduced a genetic particle evolutionary swarm optimization (GPESO) for solving the economic dispatch (ED) in power systems. GPESO is based on the genetic particle swarm optimization (GPSO). GPSO was derived from the original particle swarm optimization (OPSO), which was incorporated with the genetic reproduction mechanisms, namely crossover and mutation. To enhance the search performance...
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