def Select(population, MSR, RV, BI_size, population_K ,nsol, new_msr, new_rv,new_bisize, new_K, generation,self_population,Zdt_definitions,PPlotter,PProblem,EEvolution,population_label,children_label):
if (Zdt_definitions is None) and (PPlotter is None) and (PProblem is None) and (EEvolution is None):
zdt_definitions = ZDT3Definitions()
plotter = Plotter(zdt_definitions)
problem = ZDT(zdt_definitions)
evolution = Evolution(problem, 1, len(population))
evolution.register_on_new_generation(plotter.plot_population_best_front)
evolution.register_on_new_generation(collect_metrics)
else:
zdt_definitions=Zdt_definitions
plotter=PPlotter
problem=PProblem
evolution=EEvolution
new_pop,objectives,self_population,Final_label,K= evolution.evolve(population,MSR, RV, BI_size, population_K,nsol, new_msr, new_rv, new_bisize, new_K,generation,self_population,population_label,children_label)
return new_pop,objectives,self_population,zdt_definitions,plotter,problem,evolution,Final_label,K
print("Generation: {}".format(generation_num + 1))
collected_metrics = {}
def collect_metrics(population, generation_num):
pareto_front = population.fronts[0]
metrics = ZDT3Metrics()
hv = metrics.HV(pareto_front)
hvr = metrics.HVR(pareto_front)
collected_metrics[generation_num] = hv, hvr
pbr_props.show_info = True
pbr_definitions = PBRDefinitions()
plotter = Plotter(pbr_definitions)
problem = PBRCosts(pbr_definitions)
evolution = Evolution(problem, 50, 50)
evolution.register_on_new_generation(plotter.plot_population_best_front)
evolution.register_on_new_generation(print_generation)
evolution.register_on_new_generation(collect_metrics)
pareto_front = evolution.evolve()
plotter.write_report(pareto_front)
pbr_engine.close_aspen()
# plotter.plot_x_y(collected_metrics.keys(), map(lambda (hv, hvr): hvr, collected_metrics.values()), 'generation', 'HVR', 'HVR metric for PBR problem', 'hvr-pbr_problem')
print("--- Whole run: %s seconds ---" % (time.time() - start_time))
def print_generation(population, generation_num):
print("Generation: {}".format(generation_num))
def print_metrics(population, generation_num):
pareto_front = population.fronts[0]
metrics = ZDT3Metrics()
hv = metrics.HV(pareto_front)
hvr = metrics.HVR(pareto_front)
print("HV: {}".format(hv))
print("HVR: {}".format(hvr))
collected_metrics = {}
def collect_metrics(population, generation_num):
pareto_front = population.fronts[0]
metrics = ZDT3Metrics()
hv = metrics.HV(pareto_front)
hvr = metrics.HVR(pareto_front)
collected_metrics[generation_num] = hv, hvr
zdt_definitions = ZDT3Definitions()
plotter = Plotter(zdt_definitions)
problem = ZDT(zdt_definitions)
evolution = Evolution(problem, 200, 200)
evolution.register_on_new_generation(plotter.plot_population_best_front)
evolution.register_on_new_generation(print_generation)
evolution.register_on_new_generation(print_metrics)
evolution.register_on_new_generation(collect_metrics)
pareto_front = evolution.evolve()
plotter.plot_x_y(collected_metrics.keys(), map(lambda (hv, hvr): hvr, collected_metrics.values()), 'generation', 'HVR', 'HVR metric for ZDT3 problem', 'hvr-zdt3')