Results 251 to 260 of about 3,087,200 (288)

Analyzing Grammatical Evolution and $$\pi $$ π Grammatical Evolution with Grammar Model

2016
Grammatical evolution (GE) is an important automatic programming technique developed on the basis of genetic algorithm and context-free grammar. Making changes with either its chromosome structure or decoding method, we will obtain a great many GE variants such as \(\pi \)GE, model-based GE, etc.
Pei He, Zelin Deng, Chongzhi Gao, Liang Chang 0003, Achun Hu   +4 more
openaire   +1 more source

Evolution of Scikit-Learn Pipelines with Dynamic Structured Grammatical Evolution

EvoApplications, 2020
The deployment of Machine Learning (ML) models is a difficult and time-consuming job that comprises a series of sequential and correlated tasks that go from the data pre-processing, and the design and extraction of features, to the choice of the ML ...
Filipe Assunção, Nuno Lourenço, B. Ribeiro, Penousal Machado   +3 more
semanticscholar   +1 more source

Adaptive Trading With Grammatical Evolution

2006 IEEE International Conference on Evolutionary Computation, 2006
This study reports on the performance of an on-line evolutionary automatic programming methodology for uncovering technical trading rules for the S& P 500 and Nikkei 225 indices. The system adopts a variable sized investment strategy based on the strength of the signals produced by the trading rules.
Ian Dempsey, Michael O'Neill 0001, Anthony Brabazon   +2 more
openaire   +1 more source

Glucose forecasting combining Markov chain based enrichment of data, random grammatical evolution and Bagging

Applied Soft Computing, 2020
Diabetes Mellitus is a disease affecting more and more people every year. Depending on the kind of diabetes and sometimes on the stage of the illness, diabetic patients have to inject some amount of artificial insulin, namely bolus, before the meals, to ...
J. Hidalgo, M. Botella, J. M. Velasco, Oscar Garnica, C. Cervigón, R. Martínez, Aranzazu Aramendi, E. Maqueda, J. Lanchares   +8 more
semanticscholar   +1 more source

Modeling grammatical evolution by automaton

Science China Information Sciences, 2011
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Pei He, Colin G. Johnson, Houfeng Wang
openaire   +1 more source

Glucose Prognosis by Grammatical Evolution

2018
Patients suffering from Diabetes Mellitus illness need to control their levels of sugar by a restricted diet, a healthy life and in the cases of those patients that do not produce insulin (or with a severe defect on the action of the insulin they produce), by injecting synthetic insulin before and after the meals.
José Ignacio Hidalgo, J. Manuel Colmenar, Gabriel Kronberger, Stephan M. Winkler   +3 more
openaire   +1 more source

Reflective Grammatical Evolution

Artificial Life 14: Proceedings of the Fourteenth International Conference on the Synthesis and Simulation of Living Systems, 2014
Our long term goal is to develop an open-ended reflective software architecture to support open-ended evolution. Here we describe a preliminary experiment using reflection to make simple programs evolved via Grammatical Evolution robust to mutations that result in coding errors. We use reflection in the domain of grammatical evolution (GE) to achieve a
Christopher Timperley, Susan Stepney
openaire   +1 more source

Grammatical Evolution with Bidirectional Representation

2003
Grammatical evolution is an evolutionary algorithm designed to evolve programs in any language. Grammatical evolution operates on binary strings and the mapping of the genotype onto the phenotype (the tree representation of the programs) is provided through the grammar described in the form of production rules.
Jirí Kubalík, Jan Koutník, Léon J. M. Rothkrantz   +2 more
openaire   +1 more source

Understanding grammatical evolution: initialisation

Genetic Programming and Evolvable Machines, 2017
Grammatical evolution is one of the most used variants of genetic programming, and ever since its introduction, several improvements have been suggested. One of these concerns the routine used to create the initial population. In this study, several proposed initialisation routines are compared; based on a detailed analysis of the generated initial ...
openaire   +1 more source

Grammatical Evolution with Code2vec

2023
Michal Kowalczykiewicz, Piotr Lipinski
openaire   +1 more source