Particle swarm grammatical evolution for energy demand estimation
Energy Science & Engineering, 2020 Grammatical Swarm is a search and optimization algorithm that belongs to the more general Grammatical Evolution family, which works with a set of solutions called individuals or particles.
David Martínez‐Rodríguez +4 more
doaj +2 more sources
Constructing Artificial Features with Grammatical Evolution for the Motor Symptoms of Parkinson’s Disease [PDF]
BioengineeringPeople with Parkinson’s disease often show changes in their movement abilities during the day, especially around the time they take medication. Being able to record these variations in an objective way can help doctors adapt treatment and follow disease ...
Aimilios Psathas +4 more
doaj +2 more sources
GRAPE: Grammatical Algorithms in Python for Evolution
Signals, 2022 GRAPE is an implementation of Grammatical Evolution (GE) in DEAP, an Evolutionary Computation framework in Python, which consists of the necessary classes and functions to evolve a population of grammar-based solutions, while reporting essential measures.
Allan de Lima +5 more
doaj +3 more sources
Using Optimization Techniques in Grammatical Evolution
Future InternetThe Grammatical Evolution technique has been successfully applied to a wide range of problems in various scientific fields. However, in many cases, techniques that make use of Grammatical Evolution become trapped in local minima of the objective problem ...
Ioannis G. Tsoulos +2 more
doaj +3 more sources
Fuzzy Pattern Tree Evolution Using Grammatical Evolution [PDF]
SN Computer Science, 2022 Jorge L M Amaral +2 more
exaly +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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Evolving Multi-Output Digital Circuits Using Multi-Genome Grammatical Evolution
Algorithms, 2023 Grammatical Evolution is a Genetic Programming variant which evolves problems in any arbitrary language that is BNF compliant. Since its inception, Grammatical Evolution has been used to solve real-world problems in different domains such as bio ...
Michael Tetteh +5 more
doaj +1 more source
L-Atur Generative Design L-Systems Based Web Application: New Challenges and Novel Application Horizons [PDF]
International Journal of Web Research, 2023 L-Atur is a web application with the essence of human and machine collaboration that assists users who don't have coding or design skills to generate their customized products.
Rashin Rahnamoun, Romina Rahnamoun
doaj +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
Automatic Grammatical Evolution-Based Optimization of Matrix Factorization Algorithm
Mathematics, 2022 Nowadays, recommender systems are vital in lessening the information overload by filtering out unnecessary information, thus increasing comfort and quality of life.
Matevž Kunaver +2 more
doaj +1 more source