Run data to absorb the essence of the particle swarm algorithm is the first multi-objective optimization.

NSGA-II
.......\NSGA II.pdf
.......\evaluate_objective.asv
.......\evaluate_objective.m
.......\f2.m
.......\genetic_operator.asv
.......\genetic_operator.m
.......\html
.......\....\evaluate_objective.html
.......\....\genetic_operator.html
.......\....\initialize_variables.html
.......\....\non_domination_sort_mod.html
.......\....\nsga_2.html
.......\....\objective_description_function.html
.......\....\replace_chromosome.html
.......\....\tournament_selection.html
.......\initialize_variables.asv
.......\initialize_variables.m
.......\myfun.m
.......\non_domination_sort_mod.asv
.......\non_domination_sort_mod.m
.......\nsga_2.asv
.......\nsga_2.m
.......\objective_description_function.asv
.......\objective_description_function.m
.......\replace_chromosome.asv
.......\replace_chromosome.m
.......\tournament_selection.m

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