Genetic Algorithm in Matlab tool box

op = optimoptions('ga', 'PopulationType', 'bitstring'); %set up the options to use PopulationType=bitstring
x = ga(@ps_example, 8, [], [], [], [], [], [], [], op);  %to use 8 bits only.

So, ga runs by calling ps_example with eight 1/0 values. But this doesn't work out since ps_example is not a function defined on 1's and 0's alone.

Make sure that your optimizing function correctly accepts only 1's and 0's. Additionally, function should be able to run with your given number of inputs, 16 as you say.

Hope it helps you!

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Suresh Nayak Bhukya 2019-9-30

Sir,

I am not able understand the above code. So please tell me in detail way.

Bounds for both variables are 0 to 10 and bit string length is 16.

Athul Prakash 2019-10-3

在 MATLAB Online 中打开

ga() will optimize your function without using bit strings, by default. It performs mutation/crossover on x1 & x2 directly if you call

ga(@fun, 2) %fun being your obj. function coded in matlab

If you must use bitstrings, you can write the function 'fun' in such a way that it accepts 32 inputs (16 for each of x1, x2). Also, you will have to code your function to convert the bit string to your inputs x1/x2.

Good Luck!

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