Dingcai Shen

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Many real practical applications are often needed to find more than one optimum solution. Existing Evolutionary Algorithm (EAs) are originally designed to search the unique global value of the objective function. The present work proposed an improved niching based scheme named spatially neighbors best search technique combine with crowding-based(More)
In this paper, we present a new multimodal optimization algorithm, role based particle swarm optimization (RPSO), for finding and maintaining multiple optima in objective function landscape. Instead of generating all trial vectors randomly, the swarm population is divided into three kinds of roles, each part of swarms generating offsprings with different(More)
A new method for finding multiple solutions of multimodal optimization problems is proposed in this paper. To avoid the necessity of specifying a niche radius, the proposed method adopts hybrid of species conservation and hill-valley detection mechanism. The proposed method is compared with classical Species Conservation Genetic Algorithm (SCGA) on a number(More)
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