Hi,

Thanks for PyGAD, it's a great resource.
I am trying to use it for an multiobjective optimization task. I have a good idea for what good solutions could be so I am providing them via the initial_population argument. However, some of those solutions are bot being used, I think.

My set up is as follows.

ga_instance = pygad.GA(num_genes=68,
 sol_per_pop=100,
 initial_population=initial_population,
 num_generations=100,
 num_parents_mating=np.round(sol_per_pop/2).astype(int),
 parent_selection_type=parent_selection_type,
 gene_space={'low': 0, 'high': 1},
 crossover_type="uniform",
 mutation_type=None,
 mutation_num_genes=[5, 1],
 keep_elitism=10,
 fitness_func=fitness_func,
 on_generation=on_generation)

The image shows the final front 0 as blue dots and the red cross as one of the initial solutions that I provided whiuch apparently "disappeared".

image

I will appreciate any tips on how to set this up properly using PyGAD, thanks!