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Diversity of Pareto front: A multiobjective genetic algorithm based on dominating information 被引量:1

Diversity of Pareto front: A multiobjective genetic algorithm based on dominating information
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摘要 In this paper, the diversity information included by dominating number is analyzed, and the probabilistic relationship between dominating number and diversity in the space of objective function is proved. A ranking method based on dominating number is proposed to build the Pareto front. Without increasing basic Pareto method’s computation complexity and introducing new parameters, a new multiobjective genetic algorithm based on proposed ranking method (MOGA-DN) is presented. Simulation results on function optimization and parameters optimization of control system verify the efficiency of MOGA-DN. In this paper, the diversity information included by dominating number is analyzed, and the probabilistic relationship between dominating number and diversity in the space of objective function is proved. A ranking method based on dominating number is proposed to build the Pareto front. Without increasing basic Pareto method’s computation complexity and introducing new parameters, a new multiobjective genetic algorithm based on proposed ranking method (MOGA-DN) is presented. Simulation results on function optimization and parameters optimization of control system verify the efficiency of MOGA-DN.
出处 《控制理论与应用(英文版)》 EI 2010年第2期222-228,共7页
基金 supported by the Academic Outstanding Youth Talented Person Fund of Anhui Province (No.2009SQR2014)
关键词 Dominating number Ranking method MULTIOBJECTIVE Genetic algorithm Dominating number Ranking method Multiobjective Genetic algorithm
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