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Genetic Algorithm Utility Library

The Genetic Algorithm Utility Library (or, GAUL for short) .


Last Week downloads: 0
Total downloads: 138
  • Last Updated: Aug 25, 2010
  • License: GPL Free
  • OS: Windows /Linux/Mac OS/BSD/Solaris
  • Requirements: No special requirements

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4 out of 5 based on 1 ratings for Genetic Algorithm Utility Library

For Genetic Algorithm Utility Library Publisher's description


Genetic Algorithm Utility Library is a Scripts software developed by Stewart Adcock. After our trial and test, the software is proved to be official, secure and free. Here is the official description for Genetic Algorithm Utility Library:

EditByBSEditor: The Genetic Algorithm Utility Library (or, GAUL for short) is a flexible programming library designed to aid in the development of applications that use genetic, or evolutionary, algorithms. It provides data structures and functions for handling and manipulation of the data required for serial and parallel evolutionary algorithms. Additional stochastic algorithms are provided for comparison to the genetic algorithms. Much of the functionality is also available through a simple S-Lang interface.

* Darwinian, Lamarckian or Baldwinian evolutionary schemes.
* Both steady-state and generation-based GAs included.
* The island model of evolution is available.
* Chromosome datatype agnostic. A selection of common chromosome types are built-in.
* Includes most of the usual CrossOver, Mutation and selection operators.
* Allows user-defined crossover, mutation, selection, adaptation and replacement operators.
* Availability of multiple chromosome genomes.
* Full support for multiple, simultaneously evolved, populations.
* Choice of high-level or low-level interface functions.
* Additional optimisation algorithms are built-in for local optimisation or comparative purposes:
o Hill-climbing.
o Tabu Search.
o Simulated Annealling.
o Simplex Search.
o Steepest Ascents.
o Deterministic Crowding.
o Differential Evolution.
* Trivial to extend using external code via the built-in code hooks.
* May be driven by, or extended by, simple yet powerful S-Lang scripts.
* Support for multiprocessor calculations on various architectures:
o OpenMP 2.0
o pthreads
o forked-process model
* Written using highly portable C code.
* Distributed with a large set of example programs.
* Available as a free download, with full source code.
you can free download Genetic Algorithm Utility Library now.

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