用NSGA-II 做简单多目标优化实例​，出现—输入参数的数​目不足—。

小白，用NSGA-II 做简单多目标优化实例。在网上找了个例子（附图），一步一步来。出现 （输入参数的数目不足）问题？请大佬帮忙解答下，感谢。网上例子用R2009a，windows7，我用R2016a，windows7。

function [ y1,y2 ] =my_target( a,b )
%UNTITLED 此处显示有关此函数的摘要
%   此处显示详细说明
y1=a^4-10.*(a^2)+a.*b+b^4-(a^2).*(b^2)
y2=b^4-(a^2).*(b^2)+a^4+a.*b;
 

              主程序
clear
clc 
 
fitnessfcn = @my_target;  % Function handle to the fitness funct ion
nvars = 2;  % Number of decision variables
lb = [-5,-5];  % Lower bound
ub = [5, 5];  
A= []; b= [];  % No linear inequality constraints
Aeq= []; beq= [];  % No linear equality constraints
 
options = gaoptimset ('ParetoFraction',0.3,'PopulationSize ',100,'Generations',200,'StallGenLimit',200,'TolFun',le-100,'PlotFcns',@gaplotpareto);
 
[x, fval]=gamultiobj(fitnessfcn,nvars, A, b, Aeq, beq, lb, ub, options);

出现问题的语句——

options = gaoptimset ('ParetoFraction',0.3,'PopulationSize ',100,'Generations',200,'StallGenLimit',200,'TolFun',le-100,'PlotFcns',@gaplotpareto);

—出现错误，提示输入参数的数目不足。

Answer 1

[真人百家家乐网址【359663.tv】]

改成

clear;clc;close all;
nvars = 2;  % Number of decision variables
lb = [-5,-5];  % Lower bound
ub = [5, 5];  
A= []; b= [];  % No linear inequality constraints
Aeq= []; beq= [];  % No linear equality constraints
my_target = @(x) [x(1).^4 - 10.*x(1).^2 + x(1).*x(2) + x(2).^4 - x(1).^2.*x(2).^2;
    x(2).^4 - x(1).^2.*x(2).^2 + x(1).^4 + x(1).*x(2)];
options = optimoptions('gamultiobj','ParetoFraction',0.3,...
    'PopulationSize',100,'Generations',200,'StallGenLimit',200,...
    'TolFun',1e-100,'PlotFcn',@gaplotpareto);
[x, fval] = gamultiobj(my_target, nvars, A, b, Aeq, beq, lb, ub, options );

'PopulationSize ',100,

你的代码这里PopulationSize后面多了一个空格，导致无法识别参数