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Project Summary

DEAP is a novel evolutionary computation framework for rapid prototyping and testing of ideas. It seeks to make algorithms explicit and data structures transparent. It works in perfect harmony with parallelization mechanism such as multiprocessing and SCOOP. The following documentation presents the key concepts and many features to build your own evolutions.

Tags

evolutionarycomputing geneticalgorithms geneticprogramming particleswarmoptimization python

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In a Nutshell, deap...

GNU Lesser General Public License v3.0 only
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This Project has No vulnerabilities Reported Against it

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Languages

Languages?height=75&width=75
Python
85%
C
8%
5 Other
7%

30 Day Summary

Jun 15 2018 — Jul 15 2018

12 Month Summary

Jul 15 2017 — Jul 15 2018
  • 32 Commits
    Down -36 (52%) from previous 12 months
  • 13 Contributors
    Down -2 (13%) from previous 12 months