Library for programming applications using genetic algorithms
The Genetic Algorithm Utility Library (GAUL) is a programming library designed to assist in the development of code requiring genetic algorithms. The steady-state, generation based and the island model of evolution are supported, using the Darwinian, Lamarkian or Baldwininan evolutionary schemes. Standard mutation, crossover and selection operators are provided, while code hooks additionally allow custom operators. It provides data structures and functions for handling and manipulation of the data required for a genetic algorithm. Additional stochastic algorithms are provided for comparison to the genetic algorithms. Much of the functionality is also available through a simple S-Lang interface.
7 June 2002
Leaders and contributors
Resources and communication
|Developer||VCS Repository Webview||http://sourceforge.net/cvs/?group_id=25766|
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