Error:Too many input arguments in GA solver

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Rajdeep Ghosh
Rajdeep Ghosh 2020-8-15
编辑： Mario Malic 2020-8-15
Dear programmers
I need to minimize a single-objective function in ga having two(2) input variables. But the solver is showing an error:Too many input arguments. Please help.
function y = simple_fitness(x)
%SIMPLE_FITNESS fitness function for GA
y = 100 * (x(1)^2 - x(2)) ^2 + (1 - x(1))^2;
rng default % For reproducibility
FitnessFunction = @simple_fitness;
numberOfVariables = 2;
lb = [-3,-3];
ub = [3,3];
[x,fval] = ga(FitnessFunction,numberOfVariables,[],[],[],[],lb,ub);

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Mario Malic
Mario Malic 2020-8-15
编辑：Mario Malic 2020-8-15
function y = simple_fitness(x)
y = 100 * (x(1)^2 - x(2)) ^2 + (1 - x(1))^2;
end
rng default % For reproducibility
numberOfVariables = 2;
lb = [-3,-3];
ub = [3,3];
[x,fval] = ga(@(x)simple_fitness(x),numberOfVariables,[],[],[],[],lb,ub);
Now should be working.
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Sara Boznik
Sara Boznik 2020-8-15
This is what is saved in x and in fval is saved 1 constant ... 1.2344
Mario Malic
Mario Malic 2020-8-15
编辑：Mario Malic 2020-8-15
[x,fval,exitflag,output,population,scores] = ga(___)
This is a code if one should further investigate about the solution, and maybe try to check the available ga options if solution is not the optimal one.
Also, since this function is quite straight forward, one could just generate meshgrid within the bounds, evaluate objective function and then find a minimum of it.

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