登录
首页 » Python » jMetalPy-master-python

jMetalPy-master-python

于 2020-10-06 发布 文件大小:560KB
0 305
下载积分: 1 下载次数: 33
我要下载

代码说明：

  用Python语言写的多目标进化算法库（2017年最新版本），包含常见的多目标进化算法以及当前最新文献中的最新算法，能够实现不同算法之间的性能比较（包含常见的GD, IGD, HV等评价指标自动生成）。可以供进化计算、多目标优化、单目标优化算法的学习参考。Python语言版本简单易懂，实用性强。(Library of multi-objective evolutionary algorithm written in Python language (the latest version in 2017), including multi-objective evolutionary algorithm and the most common new literature in the new algorithm, can realize the performance between different methods (including the common GD, IGD, HV and other evaluation index generation). It can be used as a reference for evolutionary computation, multi-objective optimization and single objective optimization. Python language version is simple and easy to understand, practical.)

文件列表：

jMetalPy-master-python\jMetalPy-master\.gitignore
jMetalPy-master-python\jMetalPy-master\.idea\jMetalPy-master.iml
jMetalPy-master-python\jMetalPy-master\.idea\misc.xml
jMetalPy-master-python\jMetalPy-master\.idea\modules.xml
jMetalPy-master-python\jMetalPy-master\.idea\workspace.xml
jMetalPy-master-python\jMetalPy-master\.travis.yml
jMetalPy-master-python\jMetalPy-master\auto-docs\Makefile
jMetalPy-master-python\jMetalPy-master\auto-docs\source\conf.py
jMetalPy-master-python\jMetalPy-master\auto-docs\source\index.rst
jMetalPy-master-python\jMetalPy-master\CHANGELOG.md
jMetalPy-master-python\jMetalPy-master\CONTRIBUTING.md
jMetalPy-master-python\jMetalPy-master\jmetal\algorithm\multiobjective\nsgaii.py
jMetalPy-master-python\jMetalPy-master\jmetal\algorithm\multiobjective\randomSearch.py
jMetalPy-master-python\jMetalPy-master\jmetal\algorithm\multiobjective\smpso.py
jMetalPy-master-python\jMetalPy-master\jmetal\algorithm\multiobjective\__init__.py
jMetalPy-master-python\jMetalPy-master\jmetal\algorithm\multiobjective\__pycache__\nsgaii.cpython-36.pyc
jMetalPy-master-python\jMetalPy-master\jmetal\algorithm\multiobjective\__pycache__\__init__.cpython-36.pyc
jMetalPy-master-python\jMetalPy-master\jmetal\algorithm\singleobjective\evolutionaryalgorithm.py
jMetalPy-master-python\jMetalPy-master\jmetal\algorithm\singleobjective\__init__.py
jMetalPy-master-python\jMetalPy-master\jmetal\algorithm\singleobjective\__pycache__\evolutionaryalgorithm.cpython-36.pyc
jMetalPy-master-python\jMetalPy-master\jmetal\algorithm\singleobjective\__pycache__\__init__.cpython-36.pyc
jMetalPy-master-python\jMetalPy-master\jmetal\algorithm\__init__.py
jMetalPy-master-python\jMetalPy-master\jmetal\algorithm\__pycache__\__init__.cpython-36.pyc
jMetalPy-master-python\jMetalPy-master\jmetal\component\archive.py
jMetalPy-master-python\jMetalPy-master\jmetal\component\density_estimator.py
jMetalPy-master-python\jMetalPy-master\jmetal\component\evaluator.py
jMetalPy-master-python\jMetalPy-master\jmetal\component\observer.py
jMetalPy-master-python\jMetalPy-master\jmetal\component\test\test_archive.py
jMetalPy-master-python\jMetalPy-master\jmetal\component\test\test_density_estimator.py
jMetalPy-master-python\jMetalPy-master\jmetal\component\test\__init__.py
jMetalPy-master-python\jMetalPy-master\jmetal\component\__init__.py
jMetalPy-master-python\jMetalPy-master\jmetal\component\__pycache__\density_estimator.cpython-36.pyc
jMetalPy-master-python\jMetalPy-master\jmetal\component\__pycache__\evaluator.cpython-36.pyc
jMetalPy-master-python\jMetalPy-master\jmetal\component\__pycache__\__init__.cpython-36.pyc
jMetalPy-master-python\jMetalPy-master\jmetal\core\algorithm.py
jMetalPy-master-python\jMetalPy-master\jmetal\core\operator.py
jMetalPy-master-python\jMetalPy-master\jmetal\core\problem.py
jMetalPy-master-python\jMetalPy-master\jmetal\core\solution.py
jMetalPy-master-python\jMetalPy-master\jmetal\core\test\test_algorithm.py
jMetalPy-master-python\jMetalPy-master\jmetal\core\test\test_operator.py
jMetalPy-master-python\jMetalPy-master\jmetal\core\test\test_problem.py
jMetalPy-master-python\jMetalPy-master\jmetal\core\test\test_solution.py
jMetalPy-master-python\jMetalPy-master\jmetal\core\test\__init__.py
jMetalPy-master-python\jMetalPy-master\jmetal\core\__init__.py
jMetalPy-master-python\jMetalPy-master\jmetal\core\__pycache__\algorithm.cpython-36.pyc
jMetalPy-master-python\jMetalPy-master\jmetal\core\__pycache__\operator.cpython-36.pyc
jMetalPy-master-python\jMetalPy-master\jmetal\core\__pycache__\problem.cpython-36.pyc
jMetalPy-master-python\jMetalPy-master\jmetal\core\__pycache__\solution.cpython-36.pyc
jMetalPy-master-python\jMetalPy-master\jmetal\core\__pycache__\__init__.cpython-36.pyc
jMetalPy-master-python\jMetalPy-master\jmetal\operator\crossover.py
jMetalPy-master-python\jMetalPy-master\jmetal\operator\mutation.py
jMetalPy-master-python\jMetalPy-master\jmetal\operator\selection.py
jMetalPy-master-python\jMetalPy-master\jmetal\operator\test\test_crossover.py
jMetalPy-master-python\jMetalPy-master\jmetal\operator\test\test_mutation.py
jMetalPy-master-python\jMetalPy-master\jmetal\operator\test\test_selection.py
jMetalPy-master-python\jMetalPy-master\jmetal\operator\test\__init__.py
jMetalPy-master-python\jMetalPy-master\jmetal\operator\__init__.py
jMetalPy-master-python\jMetalPy-master\jmetal\operator\__pycache__\crossover.cpython-36.pyc
jMetalPy-master-python\jMetalPy-master\jmetal\operator\__pycache__\mutation.cpython-36.pyc
jMetalPy-master-python\jMetalPy-master\jmetal\operator\__pycache__\selection.cpython-36.pyc
jMetalPy-master-python\jMetalPy-master\jmetal\operator\__pycache__\__init__.cpython-36.pyc
jMetalPy-master-python\jMetalPy-master\jmetal\problem\multiobjective\test\test_unconstrained.py
jMetalPy-master-python\jMetalPy-master\jmetal\problem\multiobjective\test\test_zdt.py
jMetalPy-master-python\jMetalPy-master\jmetal\problem\multiobjective\test\__init__.py
jMetalPy-master-python\jMetalPy-master\jmetal\problem\multiobjective\unconstrained.py
jMetalPy-master-python\jMetalPy-master\jmetal\problem\multiobjective\zdt.py
jMetalPy-master-python\jMetalPy-master\jmetal\problem\multiobjective\__init__.py
jMetalPy-master-python\jMetalPy-master\jmetal\problem\multiobjective\__pycache__\unconstrained.cpython-36.pyc
jMetalPy-master-python\jMetalPy-master\jmetal\problem\multiobjective\__pycache__\__init__.cpython-36.pyc
jMetalPy-master-python\jMetalPy-master\jmetal\problem\singleobjective\test\test_unconstrained.py
jMetalPy-master-python\jMetalPy-master\jmetal\problem\singleobjective\test\__init__.py
jMetalPy-master-python\jMetalPy-master\jmetal\problem\singleobjective\unconstrained.py
jMetalPy-master-python\jMetalPy-master\jmetal\problem\singleobjective\__init__.py
jMetalPy-master-python\jMetalPy-master\jmetal\problem\__init__.py
jMetalPy-master-python\jMetalPy-master\jmetal\problem\__pycache__\__init__.cpython-36.pyc
jMetalPy-master-python\jMetalPy-master\jmetal\runner\multiobjective\FUN.Kursawe.ps
jMetalPy-master-python\jMetalPy-master\jmetal\runner\multiobjective\nsgaii_standard_settings.py
jMetalPy-master-python\jMetalPy-master\jmetal\runner\multiobjective\nsgaii_standard_settings_with_observer.py
jMetalPy-master-python\jMetalPy-master\jmetal\runner\multiobjective\nsgaii_standard_settings_with_observer2.py
jMetalPy-master-python\jMetalPy-master\jmetal\runner\multiobjective\nsgaii_standard_settings_with_observer_plot_interactive.py
jMetalPy-master-python\jMetalPy-master\jmetal\runner\multiobjective\nsgaii_standard_settings_with_observer_plot_realtime.py
jMetalPy-master-python\jMetalPy-master\jmetal\runner\multiobjective\nsgaii_stopping_by_time.py
jMetalPy-master-python\jMetalPy-master\jmetal\runner\multiobjective\__init__.py
jMetalPy-master-python\jMetalPy-master\jmetal\runner\singleobjective\evolution_strategy\elitist_evolution_strategy_binary.py
jMetalPy-master-python\jMetalPy-master\jmetal\runner\singleobjective\evolution_strategy\elitist_evolution_strategy_float.py
jMetalPy-master-python\jMetalPy-master\jmetal\runner\singleobjective\evolution_strategy\elitist_evolution_strategy_running_as_a_thread.py
jMetalPy-master-python\jMetalPy-master\jmetal\runner\singleobjective\evolution_strategy\non_elitist_evolution_strategy_binary.py
jMetalPy-master-python\jMetalPy-master\jmetal\runner\singleobjective\evolution_strategy\non_elitist_evolution_strategy_float.py
jMetalPy-master-python\jMetalPy-master\jmetal\runner\singleobjective\evolution_strategy\non_elitist_evolution_strategy_running_as_a_thread.py
jMetalPy-master-python\jMetalPy-master\jmetal\runner\singleobjective\evolution_strategy\__init__.py
jMetalPy-master-python\jMetalPy-master\jmetal\runner\singleobjective\genetic_algorithm\generational_genetic_algorithm_binary.py
jMetalPy-master-python\jMetalPy-master\jmetal\runner\singleobjective\genetic_algorithm\generational_genetic_algorithm_float.py
jMetalPy-master-python\jMetalPy-master\jmetal\runner\singleobjective\genetic_algorithm\generational_genetic_algorithm_running_as_a_thread.py
jMetalPy-master-python\jMetalPy-master\jmetal\runner\singleobjective\genetic_algorithm\generational_genetic_algorithm_stopping_by_time.py
jMetalPy-master-python\jMetalPy-master\jmetal\runner\singleobjective\genetic_algorithm\generational_genetic_algorithm_with_observer.py
jMetalPy-master-python\jMetalPy-master\jmetal\runner\singleobjective\genetic_algorithm\__init__.py
jMetalPy-master-python\jMetalPy-master\jmetal\runner\singleobjective\__init__.py
jMetalPy-master-python\jMetalPy-master\jmetal\runner\__init__.py
jMetalPy-master-python\jMetalPy-master\jmetal\util\comparator.py
jMetalPy-master-python\jMetalPy-master\jmetal\util\graphic.py

下载说明：请别用迅雷下载，失败请重下，重下不扣分！

发表评论

0 个回复

  • top88_Projection
    说明：  经典99行拓扑优化程序，采用Heaviside方程获得接近0-1离散解(The classical 99-line topology optimization program uses Heaviside equation to obtain nearly 0-1 discrete solution)
    2020-06-20 00:00:02下载
    积分：1
  • fftwuserdll
    fftw 快速傅里叶变换， C#算法 直接调用dll(fftw fuliye bianhuan C# suanfa zhijie dianyong dll wenjian zhijie daoru fangzai bin wenjian jia zhong)
    2020-06-20 13:20:01下载
    积分：1
  • linefitransac
    ransac直线拟合：使用ransac方法剔除不好的点，留下好的点做直线拟合，这样拟合出的直线更符合实际，因为没有了错误数据的参与。(ransac linear fitting: Use ransac methods eliminate the bad points, making a good point to make fitting a straight line, so that the fitted straight line is more realistic, because there is no involvement of erroneous data.)
    2016-08-23 20:07:33下载
    积分：1
  • 20036127002
    反密法在数值计算中的地位就不用我来一一列举了，此程序就可以轻易的使其实现。(anti-secret numerical calculation method in the position I would not have to list them one by one, this procedure can easily achieve it.)
    2006-11-24 18:26:46下载
    积分：1
  • Ch10
    说明：  一个用于液体受热蒸发的UDF。压缩包中包含fluent网格文件，可直接进行联系。(An UDF used for heated evaporation.)
    2020-02-25 10:18:35下载
    积分：1
  • 高速工况HWFET下瞬时功率计算
    由工况HWFET数据和整车参数来计算整车瞬时需求功率，并绘制出功率需求图。(The instantaneous demand power of the whole vehicle is calculated by the HWFET data and the vehicle parameters, and the power demand map is drawn.)
    2021-03-14 15:19:23下载
    积分：1
  • JocobiGG
    本程序是根据jacobi过关法求实对称矩阵的全部特征值和特征向量(This procedure is based on realistic method jacobi clearance of all symmetric matrix eigenvalue and eigenvectors)
    2009-06-27 14:20:10下载
    积分：1
  • simplex
    说明：  使用C++写的一个可以自动(在运筹学领域)计算单纯形表，并打印每一步的运算结果(a simple code to compute simplex table in operating research and print out the result of each step.)
    2020-05-25 10:49:15下载
    积分：1
  • NearToFar
    该程序用fortran90编写，时域有限差分（FDTD)中的近远场变换方法。解决了电磁波后向散射中的RCS计算(FORTRAN90 prepared with the program, finite difference time domain (FDTD) in the near field to far field transformation method. Resolved backscattering of electromagnetic waves in the RCS calculation)
    2008-06-07 19:21:59下载
    积分：1
  • AirParm1
    大气参数计算，含密度、湿度、粘性、热导率等(-Air parameters, density, humidity, viscosity, thermal conductivity)
    2013-10-24 22:49:04下载
    积分：1
  • 696516资源总数
  • 106914会员总数
  • 0今日下载

热门标签

Visual C++ matlab C/C++ Java Others Unix_Linux EasyLanguage易语言 Visual Basic C# PDF C++ Delphi VHDL ASP WINDOWS
热门下载

Copyright© 2019-2026 | Powered by Imdn | 浙ICP备16007336号 | IMDN交流 | 联系客服（QQ：3324461878）

本网站资源收集自网络及网站用户上传，若有侵权请邮件至（3324461878@qq.com），核实后我们会在24小时内删除，谢谢！