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DEAP: A Python Framework for Evolutionary Algorithms François-Michel De Rainville, Félix-Antoine Fortin, Marc-André Gardner Marc Parizeau, and Christian Gagné
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Document Date: 2012-06-12 09:59:23


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File Size: 465,55 KB

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City

Philadelphia / /

Company

Checkpoint / DEAP / /

Country

United States / Canada / /

Currency

USD / /

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Facility

A hall / /

IndustryTerm

basic tools / o↵ers tools / generational algorithm / import algorithms / rapid prototyping tools / evolutionary algorithm / Parallel evolutionary algorithms / parallel genetic algorithms / inputs sorting networks / evolutionary algorithms / software engineering point of view / object-oriented programming tools / network placement using genetic algorithms / ready made algorithms / typical canonical algorithms / ready made solutions / non trivial algorithms / complicated algorithms / generic tools / computing / presents di↵erent tools / /

Organization

U.S. Securities and Exchange Commission / /

Person

François-Michel De Rainville / Christian Gagné / Addison Wesley / Marc-André Gardner Marc Parizeau / Félix-Antoine Fortin / /

Position

Manager / Distributed Task Manager / co-worker / Major / programmer / /

Product

Open BEAGLE / Python / /

ProgrammingLanguage

EC / Python / Scilab / C++ / /

ProvinceOrState

Pennsylvania / Georgia / /

PublishedMedium

IEEE Transactions on Evolutionary Computation / /

Technology

functional programming / object-oriented programming / XML / sensor network placement using genetic algorithms / Parallel evolutionary algorithms / evolutionary algorithm / Base Creator Tools Operators functionality Algorithms / higher level Evolutionary Algorithm / ready made algorithms / generational algorithm / import algorithms / load balancing / artificial intelligence / relatively complicated algorithms / parallel genetic algorithms / typical canonical algorithms / non trivial algorithms / domain-specific architectures Keywords Parallel Evolutionary Algorithms / evolutionary algorithms / /

URL

http /

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