Genetic programming: on the programming of computers by means of natural selection
Genetic programming: on the programming of computers by means of natural selection
Multidimensional binary search trees used for associative searching
Communications of the ACM
Representations for Genetic and Evolutionary Algorithms
Representations for Genetic and Evolutionary Algorithms
Approximating geometric crossover in semantic space
Proceedings of the 11th Annual conference on Genetic and evolutionary computation
Abstract convex evolutionary search
Proceedings of the 11th workshop proceedings on Foundations of genetic algorithms
Semantically-based crossover in genetic programming: application to real-valued symbolic regression
Genetic Programming and Evolvable Machines
Genetic programming needs better benchmarks
Proceedings of the 14th annual conference on Genetic and evolutionary computation
Geometric semantic genetic programming
PPSN'12 Proceedings of the 12th international conference on Parallel Problem Solving from Nature - Volume Part I
Genetic Programming and Evolvable Machines
Running programs backwards: instruction inversion for effective search in semantic spaces
Proceedings of the 15th annual conference on Genetic and evolutionary computation
Running programs backwards: instruction inversion for effective search in semantic spaces
Proceedings of the 15th annual conference on Genetic and evolutionary computation
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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.