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Evolving Objects

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  No analysis available

EO is a template-based, ANSI-C++ evolutionary computation library which helps you to write your own stochastic optimization algorithms insanely fast. With the help of EO, you can easily design evolutionary algorithms that will find solutions to virtually all kind of hard optimization problems ... [More] , from continuous to combinatorial ones. Designing an algorithm with EO consists in choosing what components you want to use for your specific needs, just as building a structure with Lego blocks. [Less]

0 lines of code

0 current contributors

0 since last commit

6 users on Open Hub

Activity Not Available
5.0
 
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Mostly written in language not available
Licenses: lgpl

deap

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  Analyzed about 12 hours ago

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 ... [More] key concepts and many features to build your own evolutions. [Less]

11.9K lines of code

8 current contributors

6 months since last commit

1 users on Open Hub

Very Low Activity
0.0
 
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MOEA Framework

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  Analyzed about 19 hours ago

The MOEA Framework is an open source Java library for developing and experimenting with multiobjective evolutionary algorithms (MOEAs) and other general-purpose optimization algorithms and metaheuristics. A number of algorithms are provided out-of-the-box, including NSGA-II, ε-MOEA, GDE3 and MOEA/D. ... [More] In addition, third-party tools like JMetal and PISA directly integrate with the MOEA Framework. The MOEA Framework targets an academic audience, providing the resources necessary to rapidly design, develop, execute and statistically test optimization algorithms. This includes over 40 test problems from the literature, and a suite of statistical tools for comparing and analyzing algorithm performance. [Less]

88.4K lines of code

1 current contributors

3 months since last commit

1 users on Open Hub

Very Low Activity
5.0
 
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ECJ

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  No analysis available

An efficient, stable research evolutionary computation and genetic programming research toolkit written in Java. Download at the ECJ Home Page, not here. This is an old repository. For the latest CVS repository, go to the ECJ repository at java.dev

0 lines of code

0 current contributors

0 since last commit

0 users on Open Hub

Activity Not Available
0.0
 
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Mostly written in language not available
Licenses: No declared licenses

jmona

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  Analyzed about 24 hours ago

A Java framework for evolutionary algorithms.

17K lines of code

0 current contributors

about 15 years since last commit

0 users on Open Hub

Inactive
0.0
 
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