Hi, all
I found GA function https://kr.mathworks.com/help/gads/options-in-genetic-algorithm.html.
% input_data shape = [ M x N x T ] ( channel, trials, time sample )
% ga : Find minimum of function using genetic algorithm
ga(fitness_function_my_own, input_data)
I want to find a few channels that minimize the fitness function for M channels, and the question is two.
Q1. I wonder if ga can be applied to the matrix data ?
Q2. I know that parameters that need to be set, such as crossover probability and mutation probability, are theoretically necessary to apply ga.
Is it necessary to modify the ga function directly in the file implemented to apply this option to the corresponding function?
Best Answer