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See:
Description
Packages | |
edu.uiuc.ge.illigal.gale | Base package for GALE software. |
edu.uiuc.ge.illigal.gale.agents | Knowledge representations evolvable using GALE. |
edu.uiuc.ge.illigal.gale.board | Tools for board-based evolution implemented by GALE. |
edu.uiuc.ge.illigal.gale.config | Configuration of GALE. |
edu.uiuc.ge.illigal.gale.data | Data storage and manipulation tools used by GALE. |
edu.uiuc.ge.illigal.gale.distance | Groups some distance metrics used by GALE. |
edu.uiuc.ge.illigal.gale.io | Input/Output interface used by GALE. |
GALE
(Genetic and Artificial Life Environment) is fine-grained parallel genetic
algorithm for data mining. Its main contributions are simplicity and
its knowledge-independent model. The simplicity of
GALE relies in its fine-grained parallelism based on spreading the
population (feasible solutions to the classification task) over a 2D grid. Thus,
artificial evolution can be easily modeled in terms of neighborhood relations.
These neighborhood relations define GALE as
a massive parallel evolutionary model. On the other hand,
GALE does not constrain the knowledge representation. It can evolve
indistinctly rules, instances, partially-defined instances, and decision trees
(orthogonal, oblique, and multivariate based on nearest neighbor.)
Hope you enjoy it.
Xavier Llorà
December 6, 2002
xllora@illigal.ge.uiuc.edu
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