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Crossover and mutation plays an important role in evolutionary algorithms, probability selection determines the performance of the algorithm. Now the crossover and mutation probability is mainly calculated according to the fitness of individuals, while some shortcomings still exist, such as evolution easier to stall and so on. In the paper, we propose an adaptive adjustment strategy which genetic...
There are many defects for PSO to solve multi-objective optimization problems. For example, the population of particles will lose activity when algorithm falls into local optimum, and there is no good method to solve the problem of the select of the global optimal value for the population and the history of individual optimal value. This paper introduces SPEA2 environmental selection and pair selection...
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