Results 1 to 10 of about 3,045,995 (191)
Fuzzy Pattern Tree Evolution Using Grammatical Evolution [PDF]
SN Computer Science, 2022 A novel approach to induce Fuzzy Pattern Trees using Grammatical Evolution is presented in this paper. This new method, called Fuzzy Grammatical Evolution, is applied to a set of benchmark classification problems.
Aidan Murphy +2 more
exaly +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 +4 more sources
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 +3 more sources
Design of a cryptographically secure pseudo random number generator with grammatical evolution. [PDF]
Sci Rep, 2022 This work investigates the potential for using Grammatical Evolution (GE) to generate an initial seed for the construction of a pseudo-random number generator (PRNG) and cryptographically secure (CS) PRNG.
Ryan C +4 more
europepmc +2 more sources
Grammatical Evolution of Complex Digital Circuits in SystemVerilog. [PDF]
SN Comput Sci, 2022 The evolution of complex circuits remains a challenge for the Evolvable Hardware field in spite much effort. There are two major issues: the amount of testing required and the low evolvability of representation structures to handle complex circuitry, at ...
Tetteh M, Dias DM, Ryan C.
europepmc +2 more sources
Explainable hypoglycemia prediction models through dynamic structured grammatical evolution. [PDF]
Sci RepEffective blood glucose management is crucial for people with diabetes to avoid acute complications. Predicting extreme values accurately and in a timely manner is of vital importance to them.
De La Cruz M +4 more
europepmc +2 more sources
Probabilistic Grammatical Evolution [PDF]
European Conference on Genetic Programming, 2021 Grammatical Evolution (GE) is one of the most popular Genetic Programming (GP) variants, and it has been used with success in several problem domains. Since the original proposal, many enhancements have been proposed to GE in order to address some of its main issues and improve its performance.
Jessica Mégane +2 more
semanticscholar +5 more sources
Probabilistic Structured Grammatical Evolution [PDF]
2022 IEEE Congress on Evolutionary Computation (CEC), 2022 The grammars used in grammar-based Genetic Programming (GP) methods have a significant impact on the quality of the solutions generated since they define the search space by restricting the solutions to its syntax. In this work, we propose Probabilistic Structured Grammatical Evolution (PSGE), a new approach that combines the Structured Grammatical ...
Jessica Mégane +2 more
openaire +3 more sources
QFC: A Parallel Software Tool for Feature Construction, Based on Grammatical Evolution
Algorithms, 2022 This paper presents and analyzes a programming tool that implements a method for classification and function regression problems. This method builds new features from existing ones with the assistance of a hybrid algorithm that makes use of artificial ...
Ioannis G. Tsoulos
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