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In this article, a recently proposed niching algorithm called neighborhood based speciation Differential Evolution (NSDE) is used to solve CEC 2015 multi-modal competition problems. Although DE algorithm is effective in solving single global optimal, the result is not acceptalbe when solving multi-optima problems. NSDE was proposed to enable DE with the ability of handling multi-modal optimization...
Most of the real world networks we encounter today are complex networks and one of the important characteristics of these networks is the community structure. Identifying communities in a complex network is classified as computably hard and thus many metaheuristic approaches have been proposed in the past. In this paper we propose an improved differential evolution based algorithm which exploits the...
Multimodal optimization aims at locating multiple optima in a run, which has two main advantages over traditional single objective global optimization. First, it would be useful to provide multiple solutions since some solutions may be hard to realize physically. Second, a multimodal algorithm is not so easy to get stuck in a local optimum. In recent years, multi-population evolutionary algorithms...
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