Approximating geometric crossover by semantic backpropagation
Krzysztof Krawiec, Tomasz P. Pawlak · 2013
We propose a novel crossover operator for tree-based genetic programming, that produces approximately geometric offspring. We empirically analyze certain aspects of geometry of crossover operators and verify performance of the new operator on both, training and test fitness cases coming from set of symbolic regression benchmarks. The operator shows superior performance and higher probability of producing geometric offspring than tree-swapping crossover and other semantic-aware control methods.