Genetic programming: on the programming of computers by means of natural selection
Genetic programming: on the programming of computers by means of natural selection
Automatic generation of programs for crawling and walking
Advances in genetic programming
Two self-adaptive crossover operators for genetic programming
Advances in genetic programming
Investigations into Market Index Trading Models Using Evolutionary Automatic Programming
AICS '02 Proceedings of the 13th Irish International Conference on Artificial Intelligence and Cognitive Science
Meta-grammar constant creation with grammatical evolution by grammatical evolution
GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation
Improving symbolic regression with interval arithmetic and linear scaling
EuroGP'03 Proceedings of the 6th European conference on Genetic programming
Analysis of a digit concatenation approach to constant creation
EuroGP'03 Proceedings of the 6th European conference on Genetic programming
An analysis of diversity of constants of genetic programming
EuroGP'03 Proceedings of the 6th European conference on Genetic programming
Regularization approach to inductive genetic programming
IEEE Transactions on Evolutionary Computation
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This study reports the work to date on the analysis of different methodologies for constant creation with the aim of applying the most advantageous method to the dynamic real world problem of a live trading system. The methodologies explored here are Digit Concatenation and Grammatical Ephemeral Random Constants with clear advantages identified for a digit concatenation approach in combination with the ability to form new constants through their recombination within expressions.