科研之友
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摘要
The population migration algorithm is a very effective evolutionary algorithm for solving single-objective optimization problems, but very few applications are available for solving multi-objective optimization problems (MOPs). The current study proposes an improved population migration algorithm for solving MOPs based on the vector evaluated method and the dynamic weighted aggregation. The local search ability of the improved algorithm is greatly increased by using the population flow mode. The convergence of the improved algorithm is also proven. Performance metrics and experimental test results show that the improved algorithm is very feasible and effective for solving MOPs.
