The GA-P: a genetic algorithm and genetic programming hybrid

The GA-P performs symbolic regression by combining the traditional genetic algorithms function optimization strength with the genetic-programming paradigm to evolve complex mathematical expressions capable of handling numeric and symbolic data. This technique should provide new insights into poorly...

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Bibliographic Details
Published in:IEEE expert 1995-06, Vol.10 (3), p.11-15
Main Authors: Howard, L.M., D'Angelo, D.J.
Format: Article
Language:English
Subjects:
Artificial intelligence
Equations
Evolutionary computation
Genetic algorithms
Genetic programming
Input variables
Knowledge based systems
Statistical analysis
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Summary:The GA-P performs symbolic regression by combining the traditional genetic algorithms function optimization strength with the genetic-programming paradigm to evolve complex mathematical expressions capable of handling numeric and symbolic data. This technique should provide new insights into poorly understood data relationships.< >
ISSN:0885-9000
2374-9407
DOI:10.1109/64.393137