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Differential Evolution has been a simple and efficient heuristic for global optimization over continuous spaces due to its remarkable performance. In this paper, we firstly modified the traditional structure of population in Differential Evolution and proposed a new strategy for population setting, in which a population was sorted based on the fitness values of individuals. Another new method was...
Differential Evolution (DE) algorithm has been shown to be powerful for many real optimization problems. In traditional DE and its variant algorithms, there are three or more candidates used in the step of mutation, which is one of the three typical operation steps: mutation, crossover and selection. To simplify the mutation, we propose a novel evolution algorithm which needs only two individuals...
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