文件名称:PyGEP-0.2.1.beta-r100
介绍说明－－下载内容均来自于网络，请自行研究使用
比较完备的GEP算法实现，GEP算法的基本过程和GA的过程非常相似，GEP处理的对象可以是单基因或多基因组成的染色体（基因组）-More complete GEP algorithm, the process and the basic process GEP algorithm GA is very similar objects can be handled GEP chromosomes consisting of a single gene or multiple genes (genomic)
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下载文件列表
PyGEP-0.2.1.beta-r100\PKG-INFO
.....................\.pydevproject
.....................\.project
.....................\setup.cfg
.....................\setup.py
.....................\doc\install
.....................\...\license
.....................\...\faq
.....................\...\todo
.....................\...\authors
.....................\...\readme
.....................\...\news
.....................\...\thanks
.....................\...\changelog
.....................\doc
.....................\src\pygep\population.py
.....................\...\.....\chromosome.py
.....................\...\.....\__init__.py
.....................\...\.....\gene\karva.py
.....................\...\.....\....\__init__.py
.....................\...\.....\gene
.....................\...\.....\functions\arithmetic.py
.....................\...\.....\.........\logic.py
.....................\...\.....\.........\comparison.py
.....................\...\.....\.........\linkers.py
.....................\...\.....\.........\__init__.py
.....................\...\.....\functions
.....................\...\.....\util\stats.py
.....................\...\.....\....\__init__.py
.....................\...\.....\util
.....................\...\pygep
.....................\...\demo\regression.py
.....................\...\....\cancer.py
.....................\...\....\majority.py
.....................\...\demo
.....................\...\PyGEP.egg-info\PKG-INFO
.....................\...\..............\dependency_links.txt
.....................\...\..............\SOURCES.txt
.....................\...\..............\zip-safe
.....................\...\..............\top_level.txt
.....................\...\PyGEP.egg-info
.....................\...\tests\stats.py
.....................\...\.....\base.py
.....................\...\.....\chromosome.py
.....................\...\.....\cache.py
.....................\...\.....\__init__.py
.....................\...\.....\gene\karva.py
.....................\...\.....\....\__init__.py
.....................\...\.....\gene
.....................\...\.....\functions\arithmetic.py
.....................\...\.....\.........\logic.py
.....................\...\.....\.........\comparison.py
.....................\...\.....\.........\linkers.py
.....................\...\.....\.........\__init__.py
.....................\...\.....\functions
.....................\...\.....\variation\crossover.py
.....................\...\.....\.........\inversion.py
.....................\...\.....\.........\mutation.py
.....................\...\.....\.........\__init__.py
.....................\...\.....\.........\insertion.py
.....................\...\.....\variation
.....................\...\tests
.....................\src
PyGEP-0.2.1.beta-r100