Genetic programming: on the programming of computers by means of natural selection
Genetic programming: on the programming of computers by means of natural selection
Advances in genetic programming
Genetic programming: an introduction: on the automatic evolution of computer programs and its applications
Complexity Compression and Evolution
Proceedings of the 6th International Conference on Genetic Algorithms
Genetic Programming, Ensemble Methods and the Bias/Variance Tradeoff - Introductory Investigations
Proceedings of the European Conference on Genetic Programming
Probabilistic incremental program evolution
Evolutionary Computation
Improving symbolic regression with interval arithmetic and linear scaling
EuroGP'03 Proceedings of the 6th European conference on Genetic programming
A Field Guide to Genetic Programming
A Field Guide to Genetic Programming
Interval-valued GA-P algorithms
IEEE Transactions on Evolutionary Computation
Semantically-based crossover in genetic programming: application to real-valued symbolic regression
Genetic Programming and Evolvable Machines
Semantically embedded genetic programming: automated design of abstract program representations
Proceedings of the 13th annual conference on Genetic and evolutionary computation
Learnable embeddings of program spaces
EuroGP'11 Proceedings of the 14th European conference on Genetic programming
Positional effect of crossover and mutation in grammatical evolution
EuroGP'10 Proceedings of the 13th European conference on Genetic Programming
Medial crossovers for genetic programming
EuroGP'12 Proceedings of the 15th European conference on Genetic Programming
Artificial bee colony programming for symbolic regression
Information Sciences: an International Journal
A new framework for scalable genetic programming
Proceedings of the 14th annual conference companion 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
An interpolation based crossover operator for genetic programming
Proceedings of the 15th annual conference companion on Genetic and evolutionary computation
| Hi-index | 0.00 |
One justification for the use of crossover operators in Genetic Programming is that the crossover of program syntax gives rise to the crossover of information at the semantic level. In particular, a fitness-increasing crossover is presumed to act by combining fitness-contributing components of both parents. In this paper we investigate a particular interpretation of this hypothesis via an experimental study of 70 GP runs, in which we categorise each crossover event by its fitness properties and the information that contributes most strongly to those fitness properties. Some tentative evidence in support of the above hypothesis is extracted from this categorisation.