In the current PyGAD implementation, the stop_criteria parameter references the fitness function's return value to determine when the desired fitness has been achieved. For example:
def fitness_func(ga_instance, solution, solution_idx):
output = numpy.sum(solution * equation_inputs)
fitness = 1.0 / (numpy.abs(output - desired_output) + 0.000001)
return fitness
ga_instance = pygad.GA(
num_generations=200,
sol_per_pop=10,
num_parents_mating=4,
num_genes=len(equation_inputs),
fitness_func=fitness_func,
stop_criteria=["reach_127.4", "saturate_15"])
In this case, the reach_127.4 is pretty clear with what it does. However, the docs do not specify how stop_criteria works in the context of multi-objective optimization, where the fitness function returns multiple values like here:
def fitness_func(ga_instance, solution, solution_idx):
...
return [fitness1, fitness2, ..., fitnessN]
From a quick look at the code I deduced that pygad actually supports it, but it's just not mentioned in the docs. So if I'm correct something like this works just fine for multi-objective optimization:
ga_instance = pygad.GA(
num_generations=200,
sol_per_pop=10,
num_parents_mating=4,
num_genes=len(equation_inputs),
fitness_func=fitness_func,
stop_criteria=["reach_127.4", "reach_130.1", "saturate_15"])
If that's the case, it would be great to have docs updated to reflect this mechanism
In the current PyGAD implementation, the
stop_criteriaparameter references the fitness function's return value to determine when the desired fitness has been achieved. For example:In this case, the
reach_127.4is pretty clear with what it does. However, the docs do not specify howstop_criteriaworks in the context of multi-objective optimization, where the fitness function returns multiple values like here:From a quick look at the code I deduced that pygad actually supports it, but it's just not mentioned in the docs. So if I'm correct something like this works just fine for multi-objective optimization:
If that's the case, it would be great to have docs updated to reflect this mechanism