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This research deals with complex networks framework for evolutionary algorithms. This paper aims on the experimental investigations on the time development and influence of different randomization types, different strategies for Differential Evolution (DE) through the analysis of complex network as a record of population dynamics and indices selection. The population is visualized as an evolving complex...
This research deals with the hybridization of the chaos driven heuristics concept and complex networks framework for evolutionary algorithms. This paper aims on the experimental investigations on the influence of different randomization types for chaos-driven Differential Evolution (DE) through the analysis of complex network as a record of population dynamics. The population is visualized as an evolving...
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...
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