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Differential Evolution (DE) algorithms are very robust, effective and highly efficient in solving the global optimization problems. Thus, they are usually able to mitigate the drawback of long computation times commonly associated with Evolutionary algorithms. However, in certain cases the performance of DE is observed not to be completely flawless. In this paper we have proposed the two enhanced...
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