Results 261 to 270 of about 3,048,704 (321)

Abstract rule learning and generalization in human and nonhuman primates. [PDF]

Sci Rep
Antoun A, Murugan R, Wilson B.
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Grammatical evolution

IEEE Transactions on Evolutionary Computation, 2001
We present grammatical evolution, an evolutionary algorithm that can evolve complete programs in an arbitrary language using a variable-length binary string. The binary genome determines which production rules in a Backus-Naur form grammar definition are used in a genotype-to-phenotype mapping process to a program.
Conor Ryan
exaly   +2 more sources

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

Lecture Notes in Computer Science, 2004
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.
Conor Ryan, Ryan Conor
exaly   +2 more sources

Hierarchical grammatical evolution

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2017
We present Hierarchical Grammatical Evolution (HGE) and its variant Weighted HGE (WHGE), two novel genotype-phenotype mapping procedures to be used in the Grammatical Evolution (GE) framework. HGE/WHGE are designed to exhibit better variational inheritance than standard GE without imposing any constraint on the structure of the genotype nor on the ...
Eric Medvet, MEDVET, Eric
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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
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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   +2 more sources

GEPINN: An innovative hybrid method for a symbolic solution to the Lane–Emden type equation based on grammatical evolution and physics-informed neural networks

Astronomy and Computing
Hassan Dana Mazraeh, Kourosh Parand
exaly   +2 more sources

Generative Art via Grammatical Evolution

International Genetic Improvement Workshop, 2023
Generative art produces artistic output via algorithmic design. Common examples include flow fields, particle motion, and mathematical formula visualization.
Erik M. Fredericks, Abigail C. Diller, Jared M. Moore   +2 more
semanticscholar   +1 more source

AVERT: An Automatic Verilog Testbench Generation Tool for Grammatical Evolution

Irish Signals and Systems Conference, 2022
With the ever-growing complexity of digital circuits, the appeal of using Machine Learning in digital circuit design has grown significantly. Over the last 25 years, Evolutionary Algorithms have been used to create digital circuits in a field known as ...
Jack McEllin, R. Conway, C. Ryan
semanticscholar   +1 more source

Crossover in Grammatical Evolution

Genetic Programming and Evolvable Machines, 2003
Summary: We present an investigation into crossover in Grammatical Evolution that begins by examining a biologically-inspired homologous crossover operator that is compared to standard one and two-point operators. Results demonstrate that this homologous operator is no better than the simpler one-point operator traditionally adopted. An analysis of the
Michael O'Neill 0001, Conor Ryan, Maarten Keijzer, Mike Cattolico   +3 more
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