有没有可能让algorithm.eaSimple返回一个包含运行时所有统计数据的日志？

from deap import algorithms, base, creator, tools

# 创建适应度函数和个体
creator.create("FitnessMax", base.Fitness, weights=(1.0,))
creator.create("Individual", list, fitness=creator.FitnessMax)

# 初始化种群和进化算法参数
toolbox = base.Toolbox()
toolbox.register("population", tools.initRepeat, list, toolbox.individual)
toolbox.register("evaluate", evaluate_function)
toolbox.register("mate", crossover_function)
toolbox.register("mutate", mutation_function)
toolbox.register("select", selection_function)

# 创建统计对象
stats = tools.Statistics()
stats.register("avg", numpy.mean)
stats.register("min", numpy.min)
stats.register("max", numpy.max)

# 运行算法并返回统计数据的日志
population = toolbox.population(n=100)
result, log = algorithms.eaSimple(population, toolbox, cxpb=0.5, mutpb=0.2, ngen=50, stats=stats, verbose=False)

# 打印统计数据
print(log)

# 获取最佳个体
best_individual = tools.selBest(population, k=1)[0]
print("Best individual:", best_individual)