Most multi-objective evolutionary algorithms used Pareto dominant criterion and density criterion to select individuals from generation to generation. However,as the Pareto criterions failed to discriminate the convergence and diversity degrees of individuals when the individuals were Pareto-optimal solutions. To address this issue,this paper proposed a distance convergence and history density based multi-objective evolutionary algorithm. It defined the distance convergence criterion to distinguish Pareto-o...
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