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Multimodal optimization amounts to finding multiple global and local optima (as opposed to a single solution) of a function, so that the user can have a better knowledge about different optimal solutions in the search space and when needed, the current solution may be switched to a more suitable one while still maintaining the optimal system performance. Niching particle swarm optimizers (PSOs) have...
In this paper, an improved selection method is proposed and integrated with summation of normalized objectives based multi-objective differential evolution to solve multi-objective optimization problems. The summation of normalized objectives and diversified selection is used to replace the non-domination sorting and reduce the simulation time of the multi-objective evolutionary algorithm. However,...
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