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Dynamic multiobjective optimization problem (DMOP) is a class of complex dynamic optimization problem (DOP), its widely exists in many real-world problems. Firstly, an core estimation of distribution model which used to approximately estimate the Pareto solution in the next environment is given, when a change in the environment is detected, the algorithm uses the collected information from the previous...
In this paper, a new evolutionary algorithm (EA) to solve multi-objective constrained optimization problem (MCOP) is proposed. First, the rank of the individual and the scalar constraint violation of the individual are defined. Then, based on the rank and the scalar constraint violation of the individual, a new fitness function and a switch selection operator are presented. Accordingly, when the individuals...
A novel evolutionary algorithm based on the new model for multiobjective optimization problems (MOPs) is presented in this paper. Firstly, we defined two measures, one is the rank variance of population and the other is the U - measure variance of population. The rank variance of population is a measure of the quality of solutions and the U -measure variance of population is a measure of the uniformity...
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