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')