kindly solve the error' index at position 1 exceedes the array bounds

Question

Preeti Panchta 2022-9-20

0
链接

此问题的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/1808335-kindly-solve-the-error-index-at-position-1-exceedes-the-array-bounds

编辑： KSSV 2022-9-20

function Output = multi_objective_function(Input)
x(1) = Input(1); % variable 1
x(2) = Input(2); % variable 2
x(3) = Input(2); % variable 3
x(4) = Input(2); % variable 4
F1 = 84718*x(1)+72627.42*x(2)+41021.98*x(3)+58077.44*x(4); % objective 1
F2 = -1124.424*x(1)-1004.247*x(2)-8.40858*x(3)-10.52292*x(4);  % objective 2
F3 = -51.524*x(1)-47.666*x(2)-19.136*x(3)-19.134*x(4); % objective 3
Output = [F1 F2 F3];
function [x,fval,exitflag,output,population,score] = multi_objective_genetic_algorithm_solver(nvars,Aeq,beq,Aineq,bineq,lb,ub,PopulationSize_Data,MaxGenerations_Data,MaxStallGenerations_Data,FunctionTolerance_Data,ConstraintTolerance_Data)
options = optimoptions('gamultiobj');
options = optimoptions(options,'PopulationSize', PopulationSize_Data);
options = optimoptions(options,'MaxGenerations', MaxGenerations_Data);
options = optimoptions(options,'MaxStallGenerations', MaxStallGenerations_Data);
options = optimoptions(options,'FunctionTolerance', FunctionTolerance_Data);
options = optimoptions(options,'ConstraintTolerance', ConstraintTolerance_Data);
options = optimoptions(options,'CrossoverFcn', {  @crossoverintermediate [] });
options = optimoptions(options,'Display', 'off');
[x,fval,exitflag,output,population,score] = ...
    gamultiobj(@multi_objective_function,nvars,[],[],Aineq,bineq,[],[],[],options);
clc
clear
close all
nvars = 4;
Aineq =[1 1 1 1; 220.086 210.356 92.672 135.994; 464.75 203.194 261.548 206.638];
bineq = [49.9; 660; 1136];
PopulationSize_Data = 500;
MaxGenerations_Data = 100;
MaxStallGenerations_Data = 100;
FunctionTolerance_Data = 0;
ConstraintTolerance_Data = 0;
[x,fval,exitflag,output,population,score] = multi_objective_genetic_algorithm_solver(nvars,[],[],Aineq,bineq,[],[],PopulationSize_Data,MaxGenerations_Data,MaxStallGenerations_Data,FunctionTolerance_Data,ConstraintTolerance_Data);
optimal_solution = x;
objective_functions = fval;
plot3(fval(1,:),fval(2,:),fval(3,:),'o')