NSGA-II.rar

共13个文件

pyc：9个

py：3个

md：1个

遗传算法

NSGA2

python源码实例

需积分: 19 33 下载量 102 浏览量 2019-05-23 17:23:38 上传评论 6 收藏 21KB RAR 举报

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遗传算法+NSGAII+带精英策略的非支配排序的遗传算法+锦标赛选择法+python源码实例（python3.5）运行之前，evolution_lib.py中注释的这一句要取消注释 #from evolution_search_nsga import parameter_lower_bound,parameter_upper_bound

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NSGA-II.rar （13个子文件）

NSGA-II

evolutionary_algorithm_NSGA-II-master

function_utils.py 3KB

evolution_lib.pyc 6KB

__pycache__

evolution_lib.cpython-35.pyc 5KB

evolution_search_nsga.cpython-36.pyc 2KB

evolution_search_nsga.cpython-35.pyc 2KB

evolution_lib.cpython-36.pyc 5KB

function_utils.cpython-35.pyc 3KB

function_utils.cpython-36.pyc 3KB

function_utils.pyc 4KB

evolution_search_nsga.py 2KB

evolution_lib.py 6KB

README.md 373B

evolution_search_nsga.pyc 2KB

共 13 条

# evolutionary_algorithm_NSGA-II The multiobjective evolutionary algorithm NSGA-II implementation in Python. `evolution_search_nsga.py` Main program, save the population scatter in each generation. `evolution_lib.py` Implement of algorithm. `function_utils.py` Define the test function. Refering to *A fast and elitist multiobjective genetic algorithm: NSGA-II* .

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