Results 21 to 30 of about 3,048,704 (321)
Genotype representations in grammatical evolution [PDF]
Applied Soft Computing Journal, 2010 Grammatical evolution (GE) is a form of grammar-based genetic programming. A particular feature of GE is that it adopts a distinction between the genotype and phenotype similar to that which exists in nature by using a grammar to map between the genotype and phenotype.
Erik Hemberg, Anthony Brabazon
exaly +4 more sources
GELAB – The Cutting Edge of Grammatical Evolution
IEEE Access, 2022 The advent of cloud-based super-computing platforms has given rise to a Data Science (DS) boom. Many types of technological problems that were once considered prohibitively expensive to tackle are now candidates for exploration.
Krishn Kumar Gupt +4 more
doaj +2 more sources
Grammatical evolution decision trees for detecting gene-gene interactions [PDF]
BioData Mining, 2010 Background A fundamental goal of human genetics is the discovery of polymorphisms that predict common, complex diseases. It is hypothesized that complex diseases are due to a myriad of factors including environmental exposures and complex genetic risk ...
Motsinger-Reif Alison A +3 more
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Applying Bounding Techniques on Grammatical Evolution
ComputersThe Grammatical Evolution technique has been successfully applied to some datasets from various scientific fields. However, in Grammatical Evolution, the chromosomes can be initialized at wide value intervals, which can lead to a decrease in the ...
Ioannis G. Tsoulos +2 more
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GenClass: A parallel tool for data classification based on Grammatical Evolution
SoftwareX, 2021 Ioannis G Tsoulos, Alexandros T Tzallas
exaly +2 more sources
Learning Difference Equations With Structured Grammatical Evolution for Postprandial Glycaemia Prediction [PDF]
IEEE journal of biomedical and health informatics, 2023 People with diabetes must carefully monitor their blood glucose levels, especially after eating. Blood glucose management requires a proper combination of food intake and insulin boluses.
Daniel Parra +4 more
semanticscholar +1 more source
Co-evolutionary probabilistic structured grammatical evolution [PDF]
Annual Conference on Genetic and Evolutionary Computation, 2022 This work proposes an extension to Structured Grammatical Evolution (SGE) called Co-evolutionary Probabilistic Structured Grammatical Evolution (Co-PSGE).
Jessica Mégane +2 more
semanticscholar +1 more source
A grammatical evolution approach to the automatic inference of P systems
Journal of Membrane Computing, 2023 P systems are a bio-inspired framework for defining parallel models of computation. Despite their relevance for both theoretical and application scenarios, the design and the identification of P systems remain tedious and demanding tasks, requiring ...
Giorgia Nadizar, Gloria Pietropolli
semanticscholar +1 more source
Modular Grammatical Evolution for the Generation of Artificial Neural Networks [PDF]
Evolutionary Computation, 2021 This article presents a novel method, called Modular Grammatical Evolution (MGE), toward validating the hypothesis that restricting the solution space of NeuroEvolution to modular and simple neural networks enables the efficient generation of smaller and
Khabat Soltanian +2 more
semanticscholar +1 more source
Constructing Features Using a Hybrid Genetic Algorithm
Signals, 2022 A hybrid procedure that incorporates grammatical evolution and a weight decaying technique is proposed here for various classification and regression problems.
Ioannis G. Tsoulos
doaj +1 more source