init_p = MiscPhases.SimpleInitPhase(EPs.num_of_generations)
number_of_bins = int(np.sqrt(EPs.pop_size))
out_file_path = RPs.out_path + 'out' + str(
number_of_bins) + 'bins' + str(i).zfill(3) + '.txt'
record_p = MiscPhases.MaintainRecordBestsPhase(
EPs.get_fitness,
out_file_path=out_file_path,
debug_output=BoardGen.DEBUG_OUTPUT)
EPs.save_solutions_p.restart()
# cyc = Evolution.Cycle(
# [EPs.elite_e_p, select_p, EPs.mut_p, EPs.elite_m_p, EPs.eval_p, record_p, save_solutions_p])
cyc = Evolution.Cycle([
select_p, EPs.mut_p, EPs.gmut_p, EPs.eval_p, record_p,
EPs.save_solutions_p, EPs.distorter_p
])
# print([i for i in cyc])
ebody = Evolution.EpochBasicBody(cyc, EPs.init_p.check_gen_limit)
init_cyc = Evolution.Cycle([
EPs.pop_init_p, EPs.init_p, EPs.eval_p, record_p,
EPs.save_solutions_p
])
epo = Evolution.Epoch(ebody, init_cycle=init_cyc)
evo = Evolution.Evolution(epo)
if i == 0:
# with open(RPs.experiment_big_fit_out_file_name, 'w') as fit_f:
# fit_f.write("Sim#, Best_fitness\n")
RC.write_experiment_preamble(init_cyc, cyc, None)
calc_fitness = RuleInd.RuleIndividual.calculate_fitness
get_fitness = RuleInd.RuleIndividual.get_fitness
init_p = MiscPhases.SimpleInitPhase(num_of_generations)
elite_e_p = Selection.SimpleExtractElitePhase(get_fitness, elite_size=5)
elite_m_p = Selection.SimpleMergeElitePhase()
select_p = Selection.TournamentSelectionPhase(get_fitness, tour_size=4)
mut_p = MutationPhase(probability=0.2)
eval_p = FitnessEvaluationPhase(fitness_calc_function=calc_fitness,
fitness_getter_function=get_fitness)
record_p = MiscPhases.MaintainBestsPhase(get_fitness)
# cyc = Evolution.Cycle([select_p, eval_p, record_p])
# cyc = Evolution.Cycle([select_p, mut_p, eval_p, record_p])
cyc = Evolution.Cycle(
[elite_e_p, select_p, mut_p, elite_m_p, eval_p, record_p])
ebody = Evolution.EpochBasicBody(cyc, init_p.check_gen_limit)
epo = Evolution.Epoch(ebody,
init_cycle=Evolution.Cycle(
[init_p, eval_p, record_p]))
evo = Evolution.Evolution(epo)
_t0 = t.time()
evo.run(pop)
_t1 = t.time()
print("\nRuntime: %.3f" % (_t1 - _t0))
print("Best ever individual")
print(record_p.best_ever_ind.rule_to_string())
print(record_p.best_ever_ind.scores)
print("Fitness: %.5f" % record_p.best_ever_ind.fitness)