资源简介
多目标遗传算法 NSGA-II 源代码
代码片段和文件信息
function f = evaluate_objective(x M V)
%% function f = evaluate_objective(x M V)
% Function to evaluate the objective functions for the given input vector
% x. x is an array of decision variables and f(1) f(2) etc are the
% objective functions. The algorithm always minimizes the objective
% function hence if you would like to maximize the function then multiply
% the function by negative one. M is the numebr of objective functions and
% V is the number of decision variables.
%
% This functions is basically written by the user who defines his/her own
% objective function. Make sure that the M and V matches your initial user
% input. Make sure that the
%
% An example objective function is given below. It has two six decision
% variables are two objective functions.
属性 大小 日期 时间 名称
----------- --------- ---------- ----- ----
目录 0 2017-06-26 15:08 NSGA-II\
文件 2216 2006-03-17 05:28 NSGA-II\evaluate_ob
文件 7094 2009-07-16 22:08 NSGA-II\genetic_operator.m
目录 0 2006-03-20 08:57 NSGA-II\html\
文件 7254 2006-03-17 05:28 NSGA-II\html\evaluate_ob
文件 15130 2006-03-17 05:30 NSGA-II\html\genetic_operator.html
文件 6575 2006-03-17 05:30 NSGA-II\html\initialize_variables.html
文件 19336 2006-03-17 05:35 NSGA-II\html\non_domination_sort_mod.html
文件 21283 2006-03-17 05:29 NSGA-II\html\nsga_2.html
文件 6402 2006-03-17 05:31 NSGA-II\html\ob
文件 8174 2006-03-17 05:38 NSGA-II\html\replace_chromosome.html
文件 10253 2006-03-17 05:37 NSGA-II\html\tournament_selection.html
文件 3424 2009-07-16 22:09 NSGA-II\initialize_variables.m
文件 1337 2009-07-20 04:16 NSGA-II\license.txt
文件 8503 2009-07-16 22:09 NSGA-II\non_domination_sort_mod.m
文件 134157 2006-03-20 09:24 NSGA-II\NSGA II.pdf
文件 9527 2009-07-16 22:09 NSGA-II\nsga_2.m
文件 3601 2009-07-16 22:09 NSGA-II\ob
文件 4120 2009-07-16 22:09 NSGA-II\replace_chromosome.m
文件 5028 2009-07-16 22:09 NSGA-II\tournament_selection.m
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