
Easily Implementation of a Genetic Algorithm Mutation function
Posted:
Dec 28, 2012 8:31 AM


Hello everybody,
I am developing a simple Genetic Algorithm for a project of mine and i have reached the point where i want to mutate the current individuals of the population.
With help from this forum, i have created a script that generates the initial population. The script is as follows:
init_val_of_columns = [1,4,6,9,13,24,26,28,41,54]; N = length(init_val_of_columns)1; M = 40; Individuals = floor(repmat(diff(init_val_of_columns),M,1).*rand(M,N))+repmat(init_val_of_columns(1:N),M,1);
The script generates a 40x9 matrix, with values constrained for each cell (columnwise) as defined by variable init_val_of_columns.
Therefore, for that population i want the mutation to happen (with probability mutP=0.8/N for each element of the each row), and store the resulting offsprings in a matrix called e.g. NewChromosomes.
What i want is for the resulting chromosomes to obey the ranges imposed by init_val_of_columns (in order to have feasible solutions).
Thank you in advance, Mike

