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NSGA2算法

于 2021-03-02 发布

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下载积分: 1 下载次数: 3

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说明： NSGA2多目标优化算法，配上说明文档 NSGA-Ⅱ算法是 Srinivas 和 Deb 于 2000 年在 NSGA 的基础上提出的，它比 NSGA算法更加优越：它采用了快速非支配排序算法，计算复杂度比 NSGA 大大的降低；采用了拥挤度和拥挤度比较算子，代替了需要指定的共享半径 shareQ，并在快速排序后的同级比较中作为胜出标准，使准 Pareto 域中的个体能扩展到整个 Pareto 域，并均匀分布，保持了种群的多样性；引入了精英策略，扩大了采样空间，防止最佳个体的丢失，提高了算法的运算速度和鲁棒性。(NSGA2 multi-objective optimization algorithm, with instructions)

文件列表：

1, 0 , 2020-04-26
1\NSGA II.pdf, 134157 , 2006-03-20
1\evaluate_objective.m, 2216 , 2006-03-17
1\genetic_operator.m, 7094 , 2009-07-16
1\html, 0 , 2020-04-26
1\html\evaluate_objective.html, 7254 , 2006-03-17
1\html\genetic_operator.html, 15130 , 2006-03-17
1\html\initialize_variables.html, 6575 , 2006-03-17
1\html\non_domination_sort_mod.html, 19336 , 2006-03-17
1\html\nsga_2.html, 21283 , 2006-03-17
1\html\objective_description_function.html, 6402 , 2006-03-17
1\html\replace_chromosome.html, 8174 , 2006-03-17
1\html\tournament_selection.html, 10253 , 2006-03-17
1\initialize_variables.m, 3424 , 2009-07-16
1\main.m, 5077 , 2020-04-26
1\non_domination_sort_mod.m, 8503 , 2009-07-16
1\nsga_2.m, 9527 , 2009-07-16
1\objective_description_function.m, 3601 , 2009-07-16
1\replace_chromosome.m, 4120 , 2009-07-16
1\solution.txt, 3420 , 2020-04-26
1\tournament_selection.m, 5028 , 2009-07-16

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