4 posts about GA by 3 contributors.
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This article provides some of the basics of genetic algorithms, including what they are, what they're good for, why we call them genetic, and so on. This provides both theory and sample implementations in Visual Basic .NET.
This article tells you how to use a Genetic Algorithm to optimally layout parts on a circuit board so they have the shortest connections between them.
Genetic Algorithms (GAs) are adaptive methods that can be used to solve search and optimization problems.
Gene Expression programming (GEP) is a subset of Genetic Algorithms, except it uses genomes whose strings of numbers represent symbols. The string of symbols can further represent equations, grammars, or logical mappings.
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