Evolving Phonological Rules Using Grammatical Evolution

Evolving Market Index Trading Rules Using Grammatical Evolution

Evolving Intrusion Detection Rules on Mobile Ad Hoc Networks

Intrusion detection on mobile Ad Hoc Networks (MANETs) is in its early stages. In this paper, we show how grammatical evolution can be used to evolve detection programs for dropping attacks, a particularly important attack type for such networks.

Evolving technical trading rules for spot foreign-exchange markets using grammatical evolution

Grammatical Evolution (GE) is a novel, data-driven, model-induction tool, inspired by the biological gene-to-protein mapping process. This study provides an introduction to GE, and applies the methodology in an attempt to uncover useful technical trading rules which can be used to trade foreign exchange markets. In this study, each of the evolved rules (programs) represents a market trading sys...

Evolving a Ms. PacMan Controller Using Grammatical Evolution

In this paper we propose an evolutionary approach capable of successfully combining rules to play the popular video game, Ms. PacMan. In particular we focus our attention on the benefits of using Grammatical Evolution to combine rules in the form of “if then perform ”. We defined a set of high-level functions that we think are necessary to successufully maneuver Ms. Pac-Man ...

Grammatical Evolution by Grammatical Evolution: The Evolution of Grammar and Genetic Code

This study examines the possibility of evolving the grammar that Grammatical Evolution uses to specify the construction of a syntactically correct solution. As the grammar dictates the space of symbols that can be used in a solution, its evolution represents the evolution of the genetic code itself. Results provide evidence to show that the coevolution of grammar and genetic code with a solutio...