Genetic Algorithms Libraries

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C++

• EO Evolutionary Computation Framework
  author: Geneura Team
  resume: A flexible template-based evolutionary computation
  library , free for non commercial use.
  
  description: EO is a template-based, ANSI-C++ compliant evolutionary
  computation library. It contains classes for almost
  every kind
  of evolutionary algorithm. It is component-based,
  allowing you to define your own class if the need be.
  The code is available freely for non-commercial use.
  There is a documentation, not extensive, but sufficient.
  The examples in the archive should get you going though.
  
  url: http://geneura.ugr.es/~jmerelo/EO.html
  rating: 10
  votes: 3

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• GAlib
  author: Matthew Wall
  resume: A C++ library of genetic algorithm components, elegant extendible object oriented design with efficient default operators.
  description: This library has been developed for over 5 years now, and is showing maturity. The code is elegant object oriented C++, which allows you to customise it at will. The default operators provided are very efficient, and little work needs to be done to solve or optimise a specific problem.
  
  The library is well documented, and ample source code is provided to guide you during your implementation.
  url: http://lancet.mit.edu/ga/
  rating: 229
  votes: 63

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• GAGS
  author: J. J. Merelo
  resume: A C++ class library which contains classes used to
  program all the elements that constitute a genetic
  algorithm.
  description: This library provides all the elements that constitute a
  genetic algorithm, including crossover and mutation
  operators. The fitness function can be customised by as
  C or C++ function, allowing him to solve customised
  optimisation problems.
  
  The source is plain C++, and seems to compile without
  any trouble on most platforms.
  url: http://kal-el.ugr.es/GAGS/
  rating: 51
  votes: 12

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Java

• GAJIT - A Simple Java Genetic Algorithms
  author: Matthew Faupel
  resume: A conversion of the C++ GAGS library to java, providing
  a good starting point for any GA implementation.
  description: This library is a conversion of the C++ GAGS library,
  with some major differences due to the nature of java,
  and the default classes provided. The java code is
  mostly complete, but should provide a good starting
  point for your implementations.
  
  JDK is suggested, but other platforms should work with a
  bit of effort.
  
  
  url: http://www.angelfire.com/ca/Amnesiac/gajit.html
  rating: 42
  votes: 14

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• GA Playground
  author: Ariel Dolan
  resume: A general purpose genetics algorithm library in java
  where the user can define his own optimisation problem.
  description: This is a general purpose genetics algorithm library ,
  allowing the creation of custom definition files to
  solve user defined optimisation problems. Little
  modifications in the source many be necessary.
  
  Some nifty tricks help producing an optimal solution,
  such as an automatic kick which randomly scrambles some
  individuals for diversity, or the kin-compensation
  factor which punishes similar individuals.
  
  The source code is java, and seems to be compatible with
  most compilers and VM.
  url: http://www.aridolan.com/ga/gaa/gaa.html
  rating: 56
  votes: 13

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Ansi C

• PGAPack Parallel Genetic Algorithm Library
  author: David Levine
  resume: A general-purpose parallel genetic algorithm library.
  Integrated, seamless, and portable.
  description: PGAPack is a general-purpose, data-structure-neutral,
  parallel genetic algorithm library. It is intended to
  provide most capabilities desired in a genetic algorithm
  library, in an integrated, seamless, and portable
  manner. It can run on uniprocessors, parallel computers
  and workstation networks. Custom operators can be used
  to extend the library. The library is available freely,
  and a postcript documentation can also be downloaded.
  url: http://www-fp.mcs.anl.gov/CCST/research/reports_pre1998/comp_bio/stalk/pgapack.html
  rating: 20
  votes: 4

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• GAUL
  author: Stewart Adcock
  resume: An open source programming library designed to assist in
  the development of code that requires the use of genetic
  algorithms.
  description: This is an open source programming library designed to
  assist in the development of code that requires the use
  of genetic algorithms. It supports the darwinian,
  lamarkian and baldwininan evolutionary schemes.
  Steady-state and generation based populations are
  supported, together with the island model. All the
  standard mutation and crossover procedures are
  supported, but code hooks allow the user to customise them.
  
  The source code is available freely, despite not been
  fully stable yet. Documentation is partly written, and
  more is underway.
  url: http://gaul.sourceforge.net/
  rating: 35
  votes: 8

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• Sugal 2.1 Genetic Algorithms Simulator
  author: Andrew Hunter
  resume: Sunderland Genetic Algorithm system aiming to support
  research and GA implementation on a common software
  platform.
  description: The Sunderland Genetic Algorithm library is a powerful
  library that aims to support research and GA
  implementations on a common software platform. It
  supports multiple datatypes seamlessly. Extensive
  fitness and diversity statistics can be easily
  generated, and controlled via the platform independant
  user interface. The genetic algorithm parameters can be
  set in a configuration file.
  
  Many types of crossover and mutation operators are
  supported, and the initialisation, selection and
  normalisation routines are also selectable.
  
  Sugal is standard Ansi C, and has been compiled on
  numerous platforms. Portability to other platforms is
  expected to be good.
  url: http://www.trajan-software.demon.co.uk/sugal.htm
  rating: 18
  votes: 6

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