Title :
The GA-P: a genetic algorithm and genetic programming hybrid
Author :
Howard, L.M. ; D´Angelo, Donno J.
Author_Institution :
SunTrust Service Corp., Atlanta, GA, USA
fDate :
6/1/1995 12:00:00 AM
Abstract :
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
Keywords :
data handling; genetic algorithms; mathematical programming; symbol manipulation; GA-P; complex mathematical expressions; data relationships; function optimization strength; genetic algorithm; genetic programming hybrid; numeric data handling; symbolic data handling; symbolic regression; Equations; Evolutionary computation; Genetic algorithms; Genetic programming; Input variables; Knowledge based systems; Statistical analysis;
Journal_Title :
IEEE Expert
