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The focus of most research in evolutionary dynamic optimization has been tracking moving optimum (TMO). Yet, TMO does not capture all the characteristics of real-world dynamic optimization problems (DOPs), especially in situations where a solution’s future fitness has to be considered. To account for a solution’s future fitness explicitly, we propose to find robust solutions to DOPs, which are formulated...
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