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A new multi-objective evolutionary algorithm for Environmental/Economic power Dispatch (EED) problem based on Particle Swarm Optimization (PSO) is proposed in this paper. The new algorithm has adopted the maintenance method of Pareto candidate solution set based on the max-min distance density. The algorithm effectively guarantees the convergence of the algorithm and the diversity solutions. The performance...
This paper presents a new multiobjective evolutionary algorithm for Environmental/Economic power Dispatch (EED) problem based on Differential Evolution (DE). The proposed algorithm is different from the classical DE in the process of mutation. The mutation is carried out with three vectors; one is the local best, other is the global best and third one is selected as randomly. The improved mutation...
In this paper, the global structure constraint model (GSC) is used to present the target objects, and the evolutionary algorithm, particle swarm optimization (PSO) is exploited for searching the optimal status of the target in the new images. The experimental results show that this method can achieve effective results.
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