This paper introduces Hierarchical Machine Learning Optimisation (HML-Opt), an AutoML framework that is based on probabilistic grammatical evolution. HML-Opt has been designed to provide a flexible where researcher can define the space of possible pipelines solve specific machine learning problem, which range from high-level decisions about representation and features low-level hyper-parameter ...

when studying russian morphology, one can distinguish two categories. these categories are “grammatical” and “lexico-grammatical”. grammatical categories can be specified through a series of grammatical features of words. considering different criteria, russian grammarians and linguists divide grammatical categories of their language into different types. in determining lexico-grammatical types...

The study describes a Grammatical Evolution (GE) system and applies it to establish the inflow prediction model of Der-Ji Reservoir in central Taiwan. GE is a new computing architecture in the area of optimization. It provides system identification in a transparent and structured way; a fittest function type of input-output relationship will be obtained automatically from this method. A multi-...

We present an analysis of how the genotype-phenotype map in Grammatical Evolution (GE) can effect performance on the Max Problem. Earlier studies have demonstrated a performance decrease for Position Independent Grammatical Evolution (πGE ) in this problem domain. In πGE the genotype-phenotype map is changed so that the evolutionary algorithm controls not only what the next expansion will be bu...

In this article, we propose the development of a bot for playing the video game Ms. Pac-Man vs. Ghosts using a grammatical evolution based evolutionary algorithm. This technique evolves programs that are evaluated by executing them in the game. The program encodes the strategy that the bot plays and is obtained through the derivation of grammar rules in a particular order, which is defined by t...

A protein is a linear chain of amino acids that folds into a unique functional structure, called its native state. In this state, proteins show repeated substructures like alpha helices and beta sheets. This suggests that native structures may be captured by the formalism known as Lindenmayer systems (L-systems). In this paper an evolutionary approach is used as the inference procedure for fold...

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...

Although there is a plentiful literature on the use of evolutionary methodologies for the trading of financial assets, little attention has been paid to potential use of these methods for efficient trade execution. Trade execution is concerned with the actual mechanics of buying or selling the desired amount of a financial instrument of interest. Grammatical Evolution (GE) is an evolutionary au...