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FGA is a simple yet powerful implementation of a general genetic algorithm, and provides many types of crossover and selection procedures. It is suitable to solve mathematical problems such as combinatorical optimization ones, as well as to build artificial life simulations.
15 lines
649 B
Plaintext
15 lines
649 B
Plaintext
FGA is a simple yet powerful implementation of a general genetic algorithm, and
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provides many types of crossover and selection procedures.
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It is suitable to solve mathematical problems such as combinatorical
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optimization ones, as well as to build artificial life simulations.
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Written in C++, the library is released under the terms of the GNU Lesser
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General Public License, and it's easy to incorporate in other applications.
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A parallel version of the algorithm (using POSIX threads) is included in order
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to take advantage of multi-processor environments.
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Author: Alessandro Presta <alessandro.presta@gmail.com>
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WWW: http://fga.sourceforge.net/
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