获取实现NSGAII算法的模块的文档

Question

我试图在这个模块中使用NSGA-II算法的实现https://github.com/wreszelewski/nsga2

问题

在哪里可以找到此模块的文档？在

Answer 1

文档似乎仅限于作者提供的示例。https://github.com/wreszelewski/nsga2/tree/master/examples

在进化过程中收集指标，然后绘制每代的hvr指标

from metrics.problems.zdt import ZDT3Metrics
from nsga2.evolution import Evolution
from nsga2.problems.zdt import ZDT
from nsga2.problems.zdt.zdt3_definitions import ZDT3Definitions
from plotter import Plotter

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')

在进化过程中收集指标，然后绘制每代的hvr指标

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他们帮你吗？在