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jMetalPy-master-python

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

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

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    based classification (SRC) has been widely used for face recognition (FR). SRC first codes a testing sample as a sparse linear combination of all the training samples, and then classifies the testing sample by evaluating which class leads to the minimum representation error. While the importance of sparsity is much emphasized in SRC and many related works, the use of collaborative representation (CR) in SRC is ignored by most literature.
    2013-08-02 16:14:29下载
    积分:1
  • convolution3D_FFTdomain
    3DFFT,对三维数据进行傅立叶变换,效果较好.可以用于三维的地震资料处理(3DFFT, three-dimensional Fourier transform of the data, the better can be used for three-dimensional seismic data processing)
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    积分:1
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    2020-12-18 11:59:10下载
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  • shipinfenxi
    frft程序函数,分数阶傅立叶变换,短时傅立叶变换,傅立叶变换(the frft program function, fractional Fourier transform, short-time Fourier transform, Fourier transform)
    2013-05-14 11:42:20下载
    积分:1
  • nihe
    说明:  在matlab环境下能进行各种曲线拟合的算法,非常好。(In the matlab environment to conduct various kinds of curve fitting algorithms, very good.)
    2008-09-21 18:10:58下载
    积分:1
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    optimization engineering text book by s.s.rao
    2012-12-07 08:01:54下载
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    使用五点差分格式计算一个微分方程在边值问题上的解(The use of a five-point difference scheme for the calculation of a differential equation in the solution of boundary value problems)
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    积分:1
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    内有图像协方差的计算,协方差间黎曼距离的计算等等(Within the calculation of the image covariance, the covariance between Riemannian distance calculation, and so on)
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    有限元热计算的算例,做有限元热分析的朋友比较有用(Finite element calculation of hot example, to do finite element analysis of hot Friend more useful)
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