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Location : Home Downloads SourceCode Mathimatics-Numerical algorithms matlab
  • Category : matlab
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  • Update : 2017-10-05
  • Size : 153kb
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  • Author :diml*****
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Introduction - If you have any usage issues, please Google them yourself
The NSGA is based on the individual layers of grading. Before selecting execution groups, according to govern with the dominant relationship to sort: all non dominant individuals are arranged into a class, these is classification of individuals to share their virtual fitness values. , then ignore this group has been graded individuals, to other individuals in population according to the dominant and the dominated relationship to classification, the process to continue until all in the group is graded.
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NSGA-II
NSGA-II\html
NSGA-II\html\tournament_selection.html
NSGA-II\html\replace_chromosome.html
NSGA-II\html\objective_description_function.html
NSGA-II\html\nsga_2.html
NSGA-II\html\non_domination_sort_mod.html
NSGA-II\html\initialize_variables.html
NSGA-II\html\genetic_operator.html
NSGA-II\html\evaluate_objective.html
NSGA-II\NSGA II.pdf
NSGA-II\evaluate_objective.m
NSGA-II\genetic_operator.m
NSGA-II\initialize_variables.m
NSGA-II\non_domination_sort_mod.m
NSGA-II\nsga_2.m
NSGA-II\objective_description_function.m
NSGA-II\replace_chromosome.m
NSGA-II\tournament_selection.m
license.txt
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