Semantic Genetic Programming Operators Based on Projections in the Phenotype Space

Mario Graff, Eric Sadit Tellez, Elio Villaseñor, Sabino Miranda
2015 Research in Computing Science  
In the Genetic Programming (GP) community there has been a great interest in developing semantic genetic operators. These type of operators use information of the phenotype to create offspring. The most recent approaches of semantic GP include the GP framework based on the alignment of error space, the geometric semantic genetic operators, and backpropagation genetic operators. Our contribution proposes two semantic operators based on projections in the phenotype space. The proposed operators
more » ... roposed operators have the characteristic, by construction, that the offspring's fitness is as at least as good as the fitness of the best parent; using as fitness the euclidean distance. The semantic operators proposed increment the learning capabilities of GP. These operators are compared against a traditional GP and Geometric Semantic GP in the Human oral bioavailability regression problem and 13 classification problems. The results show that a GP system with our novel semantic operators has the best performance in the training phase in all the problems tested.
doi:10.13053/rcs-94-1-6 fatcat:5zamhw6l3rcihojb22zczyumri