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Name: deap
Version: 0.7.1
Summary: Distributed Evolutionary Algorithms in Python
Home-page: http://deap.googlecode.com
Author: deap Development Team
Author-email: deap-users@googlegroups.com
License: LGPL
Download-URL: http://code.google.com/p/deap/downloads/list
Description: DEAP stands for Distributed Evolutionary Algorithm in Python, it is dedicated to people who
wish to learn how to use evolutionary algorithms and to those who wish to
rediscover evolutionary algorithms. DEAP is the proof that evolutionary
algorithms do **not** need to be neither complex or complicated.
EAP is part of the DEAP project, that also includes some facilities for the
automatic distribution and parallelization of tasks over a cluster of computers.
The D part of DEAP, called DTM, is under intense development and currently
available as an alpha version. DTM currently provides two and a half ways to
distribute work loads around a clusters or LAN of workstations, based MPI and
TCP communication managers.
Keywords: evolutionary algorithms,genetic algorithms,genetic programming,cma-es,ga,gp,es,pso
Platform: any
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Education
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: GNU Library or Lesser General Public License (LGPL)
Classifier: Programming Language :: Python
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Software Development
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