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gaplib.readme
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Short: Comprehensive Genetic Algorithm Programming Library.
Author: Peter Bengtsson <a94petbe@ida.his.se>
Uploader: Peter Bengtsson <a94petbe@ida.his.se>
Version: 0.74
Type: dev/c
GAP-Lib, beta1.
A comprehensive programminglibrary for Genetic Algorithms.
Genetic algorithms are a class of fairly recent and remarkably
powerful and flexible set of optimization/search strategies.
Genetic algorithms can be used for a multitude of problems such
as function optimization, searching for solutions, best-fit problems,
evolving rule-based control systems and much much more.
The basis of genetic algorithms is the population, a set
of candidate solutions or partial solutions which can
be evaluated and compared to the other candidates in the set.
For a more in-depth look at genetic algorithms, I recommend
that you find some introductory book.
This archive contains:
* Documentation
* Examples
* Tutorial
* Source wizard (Generates program skeletons for you)
* Binary libraries for 68k (SAS/C & GCC or compatible.)
* Utility code
* C++ wrapper
* Diagnostic source for the libraries.
Source code for the library itself is not available at
this stage.
-Peter