GA Playground
The GA Playground is a general purpose genetic algorithm toolkit where the
user can define and run his own optimization problems. The toolkit is
implemented in the Java language, and requires (when used as an
application, in its full mode), a Java compiler and a very basic programming
knowledge (just enough for coding a fitness function). Defining a problem
consists of creating an Ascii definition file in a format similar to
Windows Ini files, and modifying the fitness function in the GaaFunction
source file. In addition, other methods can (optionally) be overwritten
(e.g. the drawing method), other classes can be extended or replaced, and
additional input can be supplied through Ascii files.The GA Playground is primarily designed to be used as an application and
not as an applet, since it requires re-compiling of at least one class and
use of local file I/O. In addition, it is a little heavy as an applet,
taking a relatively long loading time over the net. However, although its
use as an applet does not enable defining new problems with new fitness
functions, it enables extensive playing with many variations of an already
existing problem type, by opening every aspect of the problem definition
to the user. For example, any TSP test problem can be loaded through the
'Parameters' module. Used as an applet, the toolkit takes advantage of the
Java cross-platform nature and the cross-world nature of the Internet, to
bring a GA Playground to anyone interested in experimenting with genetic
algorithms.
Download Files (local site)Offical site
Problem Links
This page last modified on 2008-07-10
.
www.algorist.com
