To overcome the decrease of diversity of solutions in NSGA,a multi-objective evolutionary algorithm based on the elitist strategy,a distributionfunction is proposed here to improve the elitist *** adjusting the param...
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To overcome the decrease of diversity of solutions in NSGA,a multi-objective evolutionary algorithm based on the elitist strategy,a distributionfunction is proposed here to improve the elitist *** adjusting the parameters of the distributionfunction and limiting the elitist solutions,some of the non-elitist solutions will be involved in the genetic computation *** experimental results show that the improved multi-purpose genetic algorithm has a better diversity and faster convergence of solutions than NSGA.
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