Solving the Exponential Growth of Symbolic Regression Trees in Geometric Semantic Genetic Programming

18 Apr 2018Joao Francisco B. S. MartinsLuiz Otavio V. B. OliveiraLuis F. MirandaFelipe CasadeiGisele L. Pappa

Advances in Geometric Semantic Genetic Programming (GSGP) have shown that this variant of Genetic Programming (GP) reaches better results than its predecessor for supervised machine learning problems, particularly in the task of symbolic regression. However, by construction, the geometric semantic crossover operator generates individuals that grow exponentially with the number of generations, resulting in solutions with limited use... (read more)

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