www.gusucode.com > 几种多目标优化算法集合，包括MOEAD，MOPSO，NNIA，NSGA2等 > NSGA-II/objective_description_function.m

    function [number_of_objectives, number_of_decision_variables, min_range_of_decesion_variable, max_range_of_decesion_variable] = objective_description_function()

%% function [number_of_objectives, number_of_decision_variables, min_range_of_decesion_variable, max_range_of_decesion_variable] = objective_description_function()
% This function is used to completely describe the objective functions and
% the range for the decision variable space etc. The user is prompted for
% inputing the number of objectives, numebr of decision variables, the
% maximum and minimum range for each decision variable and finally the
% function waits for the user to modify the evaluate_objective function to
% suit their need.

%  Copyright (c) 2009, Aravind Seshadri
%  All rights reserved.


% g = sprintf('Input the number of objective: ');
% Obtain the number of objective function
number_of_objectives = input('Input the number of objective: '); % modified by zzb
if number_of_objectives < 2
    error('This is a multi-objective optimization function hence the minimum number of objectives is two');
end
% g = sprintf('\nInput the number of decision variables: ');
% Obtain the number of decision variables
number_of_decision_variables = input('Input the number of decision variables: '); % modified by zzb
min_range_of_decesion_variable = input('Input the array of minimum value for decision variable: '); % modified by zzb
while(length(min_range_of_decesion_variable) ~= number_of_decision_variables)
    min_range_of_decesion_variable = input('The size is wrong. \nInput the array of minimum value for decision variable: ');    
end
max_range_of_decesion_variable = input('Input the array of maximum value for decision variable: '); % modified by zzb
while(length(max_range_of_decesion_variable) ~= number_of_decision_variables)
    max_range_of_decesion_variable = input('The size is wrong. \nInput the array of maximum value for decision variable: ');    
end
clc;
% for i = 1 : number_of_decision_variables
%     clc
%     g = sprintf('\nInput the minimum value for decision variable %d : ', i);
%     % Obtain the minimum possible value for each decision variable
%     min_range_of_decesion_variable(i) = input(g);
%     g = sprintf('\nInput the maximum value for decision variable %d : ', i);
%     % Obtain the maximum possible value for each decision variable
%     max_range_of_decesion_variable(i) = input(g);
%     clc
% end
open('D:\ProgramFiles\MATLAB\toolbox\genetic\NSGA-II\evaluate_objective.m');  % modified by zzb
g = sprintf('Now edit the function named "evaluate_objective" appropriately to match your needs.\nMake sure that the number of objective functions and decision variables match your numerical input. \nMake each objective function as a corresponding array element. \nAfter editing do not forget to save. \nPress "c" and enter to continue... ');
% Prompt the user to edit the evaluate_objective function and wait until
% 'c' is pressed.
x = input(g, 's');
if isempty(x)
    x = 'x';
end
while x ~= 'c'
    clc;
    x = input(g, 's');
    if isempty(x)
        x = 'x';
    end
end