the algorithm has some weak implementation of some GA concepts.
This should be improved.
Example:
In mutation the algorithm checks with the mutation-rate if the solution/individual should get changed.
And then it goes through every parameter and with the static propability of 50% it changes it.
Or there is currently no parameter for the crossover propability.
the algorithm has some weak implementation of some GA concepts. This should be improved.
Example: In mutation the algorithm checks with the mutation-rate if the solution/individual should get changed. And then it goes through every parameter and with the static propability of 50% it changes it.
Or there is currently no parameter for the crossover propability.