MATLAB: How to do to let the value of ‘x’ in open and subsequently use a range of the x-value to find the minimum value of ‘z’ using GA.

optimization ga

x=[];
y=4*x+5;
z=y.^2+2;

Best Answer

I suggest that you look at some examples in the documentation, also this section of examples, and maybe read how to write an objective function.

Alan Weiss

MATLAB mathematical toolbox documentation

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MATLAB: How to optimize a non linear single objective function constrained with only integer variables using genetic algorithm

You would probably do best to use the ga mixed integer optimization capability. Have your five variables be integer-valued. Internally, in the objective function, change the variables to their appropriate values, something like this:

 function y = objfun(x)
 v1 = 1500 + 500*x(1);
 v2 = 50 + 5*x(2);
 v3 = 5 + x(3);
 v4 = 5 + x(4);
 v5 = 5 + x(5);
 % do your fitness calculation using the v variables
 % here
 end

Call the ga solver with IntCon = 1:5. Set lower bounds of zeros(5,1) so each variable is 0 or greater, and upper bounds of [4,10,10,10,10]. There is a similar example here.

Alan Weiss

MATLAB mathematical toolbox documentation

MATLAB: Does MATLAB 2017b has a toolbox for Ant colony Optimisation

Sorry, no.

Have you tried patternsearch for nonsmooth optimization? It is fast, easy to tune, and robust. patternsearch is part of Global Optimization Toolbox.

Alan Weiss

MATLAB mathematical toolbox documentation

Best Answer

Related Solutions

MATLAB: How to optimize a non linear single objective function constrained with only integer variables using genetic algorithm

MATLAB: Does MATLAB 2017b has a toolbox for Ant colony Optimisation

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