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jMetalPy-master-python

于 2020-10-06 发布 文件大小:560KB
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  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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    考虑果蝇算法的缺陷，提出了基于混沌算法的果蝇算法，这是代码。(Code of Fruit fly algorithm based on Chaos Algorithm)
    2020-10-12 23:47:31下载
    积分：1
  • iterative-method
    利用c语言编写了迭代法解线性方程组的源程序，大大简化了计算量。(Use the C language source code of the iterative method for solving linear equations, which greatly simplify the calculation, suitable for solution of complex equations)
    2012-03-15 20:44:30下载
    积分：1
  • mie
    该函数程序用于计算大气米散射中吸收、散射、衰减、后向散射。(Computation of Mie Efficiencies extinction (qext), scattering (qsca), absorption (qabs), backscattering (qb), asymmetry parameter (asy=<costeta>) and (qratio=qb/qsca).)
    2013-06-09 10:57:31下载
    积分：1
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    一个基于matalb和fortran的大地电磁2维正演模拟程序(A program in MATLAB and FORTRAN for two-dimensional magnetotelluric inversion)
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    这个是在进行混沌时间序列分析时的C-C算法的matlab程序，希望对大家的学习会有帮助(This is during the chaotic time series analysis of the CC algorithm matlab program, in the hope that the U.S. would be helpful to learn)
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    the structure of the DG-FEM is very similar to that of the finite element method (FEM), there are several fundamental differences. In particular, the mass matrix is local rather than global and thus can be inverted at very little cost, yielding a semidiscrete scheme that is explicit. Furthermore, by carefully designing the numerical flux to reflect the underlying dynamics, one has more flexibility than in the classic FEM to ensure stability for wavedominated problems. Compared with the FVM, the DG-FEM overcomes the key limitation on achieving high-order accuracy on general grids by enabling this through the local element-based basis
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