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Genetic Programming Theory and Practice XIII
This chapter proposes a generic framework to build geometric dispersion (GD) operators for Geometric Semantic Genetic Programming in the context of symbolic regression, followed by two concrete instantiations of the framework: a multiplicative geometric dispersion operator and an additive geometric dispersion operator. These operators move individuals in the semantic space in order to balance the population around the target output in each dimension, with the objective of expanding the convexdoi:10.1007/978-3-319-97088-2_12 fatcat:uvtybvlfvfglxcz547qpwfk6t4