Evolving Market Index Trading Rules Using Grammatical Evolution
Proceedings of the EvoWorkshops on Applications of Evolutionary Computing
Grammatical Evolution: Evolutionary Automatic Programming in an Arbitrary Language
Grammatical Evolution: Evolutionary Automatic Programming in an Arbitrary Language
Biologically Inspired Algorithms for Financial Modelling (Natural Computing Series)
Biologically Inspired Algorithms for Financial Modelling (Natural Computing Series)
ReNCoDe: a regulatory network computational device
EuroGP'11 Proceedings of the 14th European conference on Genetic programming
Evolving noisy oscillatory dynamics in genetic regulatory networks
EuroGP'06 Proceedings of the 9th European conference on Genetic Programming
Evolving genes to balance a pole
EuroGP'10 Proceedings of the 13th European conference on Genetic Programming
Genetic programming with genetic regulatory networks: genetic programming
Proceedings of the 15th annual conference on Genetic and evolutionary computation
GEARNet: grammatical evolution with artificial regulatory networks
Proceedings of the 15th annual conference on Genetic and evolutionary computation
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This paper explores the computational power of genetic regulatory network models, and the practicalities of applying these to real-world problems. The specific domain of financial trading is tackled; this is a problem where time-dependent decisions are critical, and as such benefits from the differential gene expression that these networks provide. The results obtained are on par with the best found in the literature, and highlight the applicability of these models to this type of problem.