登录
首页 » Python » jMetalPy-master-python

jMetalPy-master-python

于 2020-10-06 发布 文件大小:560KB
0 283
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

  • nenkiu_v58
    仿真效率很高的，小波包分析提取振动信号中的特征频率，实现用SDRAM运行nios，同时用SRAM保存摄像头数据。( High simulation efficiency, Wavelet packet analysis to extract vibration signal characteristic frequency, Implemented with SDRAM run nios, while saving camera data SRAM.)
    2016-10-12 23:00:01下载
    积分：1
  • 迭代法估计Beta分布参数
    求概率分布函数的参数方法 采用迭代法估计Beta分布的分布参数，(Estimation of distribution parameters of Beta distribution by iterative method)
    2018-04-19 09:01:14下载
    积分：1
  • 高等光学仿真2
    说明：  comsol仿真的学习教程，有助于初学者深度掌握comsol的 基本使用(Comsol simulation course is helpful for beginners to master the basic usage of COMSOL)
    2019-03-28 09:48:49下载
    积分：1
  • MDVRP_遗传算法
    MDVRP_遗传算法 可以运行 希望对大家有帮助(a solution to MDVRP ,i hope it can help you)
    2020-11-26 17:49:32下载
    积分：1
  • 计算机模拟物理-MD
    说明：  分子动力学模拟的简化版。PDF文件中包含了伪代码。(a simple example for molecular dynamics)
    2020-12-10 16:08:12下载
    积分：1
  • suanshubianma
    算术编码是用符号的概率和它的编码间隔两俩个基本参数来描述的。算术编码可以是静态的或是自适应的。(Arithmetic coding to both of two basic parameters to describe the probability of the symbol and its coding interval. Arithmetic coding can be static or adaptive.)
    2012-08-13 03:57:21下载
    积分：1
  • data-fit
    基于最小二乘法的离散数据的曲面拟合，有二次拟合和三次拟合，并能自动出图(Based on the least squares method of discrete data of the surface fitting, there are quadratic fitting and three fitting, and can automatically plot)
    2021-04-23 09:18:48下载
    积分：1
  • apFFT_Test
    和大家分享一个全相位FFT，matlab程序，程序中全相位fft实现方法有两种，注释掉的根据原理推到得来，自己看吧。(And share a full-phase FFT, matlab program, the program fft implementation in all phase two, comment out the basis of the principle pushed to come, see for yourself.)
    2011-10-19 20:27:34下载
    积分：1
  • Field_ampl_analy
    利用地震方位属性进行反演，获得各向异性强度和方位参数；同时对计算结果进行归一统计性处理。(Property inversion, seismic orientation anisotropy and orientation parameters and normalized statistical processing of the calculation results at the same time.)
    2013-04-17 12:44:55下载
    积分：1
  • GA-DF2
    说明：  利用GA遗传算法解决欺骗函数最优问题，具体问题描述如下，如有问题请与我联系(The deceptive functions are a family of functions in which there exists low-order building blocks that do not combine to form the higher-order building blocks. Here, a deceptive problem that consists of 25 copies of the order-4 fully deceptive function DF2 is constructed for this paper. DF2 can be described as follows: f(0000)=28 f(0001)=26 f(0010)=24 f(0011)=18 f(0100)=22 f(0101)=6 f(0110)=14 f(0111)=0 f(1000)=20 f(1001)=12 f(1010)=10 f(1011)=2 f(1100)=8 f(1101)=4 f(1110)=6 f(1111)=30 This problem has a maximal function value of 750.)
    2020-05-10 09:50:49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！