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In this paper a multiobjective differential evolution algorithm called Generalized Differential Evolution is extended to solve dynamic multiobjective optimization problems (DMOPs). The proposed algorithm combines the ideas of the generalized differential evolution and the artificial immune system to create a hybrid algorithm which uses the advantages of both approaches. When a change is detected in...
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