Results 241 to 250 of about 3,087,200 (288)

Meta-grammar constant creation with grammatical evolution by grammatical evolution

Proceedings of the 7th annual conference on Genetic and evolutionary computation, 2005
This study examines the utility of meta-grammar constant generation on a series of benchmark problems. The performance of the meta-grammar approach is compared to a grammar which incorporates grammatical ephemeral random constants, digit concatenation, and an expression based approach.
Ian Dempsey, Michael O'Neill 0001, Anthony Brabazon   +2 more
openaire   +1 more source

Grammatical Evolution-Based Approach for Extracting Interpretable Glucose-Dynamics Models

International Symposium on Computers and Communications, 2021
The quality of life of diabetic patients can be enhanced by devising a personalized control algorithm, integrated within an artificial pancreas, capable of dosing the insulin.
I. D. Falco, A. D. Cioppa, T. Koutny, U. Scafuri, E. Tarantino, Martin Ubl   +5 more
semanticscholar   +1 more source

Optimizing combinational logic circuits using Grammatical Evolution

Novel Intelligent and Leading Emerging Sciences Conference, 2021
This paper applies Grammatical Evolution (GE) to the optimization of combinational logic circuits on gate-level logic. We demonstrate the ability of GE to evolve complex combinational circuits using gate-level combinational logic and show that GE can ...
Ayman Youssef, B. Majeed, C. Ryan
semanticscholar   +1 more source

Policy Evolution with Grammatical Evolution

2008
Security policies are becoming more sophisticated. Operational forces will often be faced with making tricky risk decisions and policies must be flexible enough to allow appropriate actions to be facilitated. Access requests are no longer simple subject access object matters. There is often a great deal of context to be taken into account.
Yow Tzu Lim, Pau-Chen Cheng, John Andrew Clark, Pankaj Rohatgi   +3 more
openaire   +1 more source

Grammatical evolution

Proceedings of the 9th annual conference companion on Genetic and evolutionary computation, 2007
Grammatical Evolution is an automatic programming system that is a form of Genetic Programming that uses grammars to evolve structures. These structures can be in any form that can be specified using a grammar, including computer languages, graphs and neural networks.
openaire   +1 more source

Interpretable Solutions for Breast Cancer Diagnosis with Grammatical Evolution and Data Augmentation

EvoApplications@EvoStar
Medical imaging diagnosis increasingly relies on Machine Learning (ML) models. This is a task that is often hampered by severely imbalanced datasets, where positive cases can be quite rare.
Yumnah Hasan, Allan de Lima, Fatemeh Amerehi, Darian Reyes Fernández de Bulnes, Patrick Healy, Conor Ryan   +5 more
semanticscholar   +1 more source

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 ...
openaire   +2 more sources

An improved grammatical evolution approach for generating perturbative heuristics to solve combinatorial optimization problems

Expert systems with applications, 2021
Search methodologies such as hyper-heuristics have been successfully used to automate the generation of perturbative heuristics to solve combinatorial optimization problems.
George Mweshi, N. Pillay
semanticscholar   +1 more source

Multi-objective Grammatical Evolution of Decision Trees for Mobile Marketing user conversion prediction

Expert systems with applications, 2020
The worldwide adoption of mobile devices is raising the value of Mobile Performance Marketing, which is supported by Demand-Side Platforms (DSP) that match mobile users to advertisements.
P. Pereira, P. Cortez, R. Mendes
semanticscholar   +1 more source

Grammatical evolution of a robot controller

2009 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2009
An autonomous mobile robot requires an onboard controller that allows it to perform its tasks for long periods in isolation. One possibility is for the robot to adapt to its environment using some form of artificial intelligence. Evolutionary techniques such as genetic programming (GP) offer the possibility of automatically programming the controller ...
Robert Burbidge, Joanne H. Walker, Myra S. Wilson   +2 more
openaire   +1 more source