Structured Genetic Algorithms: Some Ways Forward

A. Molfetas (Australia)


structured genetic algorithms, neural networks


Structured Genetic Algorithms (sGAs) offer signifi cant benefits over simple Genetic Algorithms (GAs). In particular they are able to solve difficult problems which are in nature deceptive or non-stationary. Though interest into the sGA model has declined in recent years, research into sGAs still offers potential for significant contributions. This paper identifies a number of research topics in the sGA area that are still open.

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