Promoter based genetic algorithm
id:
promoter-based-genetic-algorithm-303-2530018
title:
Promoter based genetic algorithm
text:
The promoter based genetic algorithm (PBGA) is a genetic algorithm for neuroevolution developed by F. Bellas and R.J. Duro in the Integrated Group for Engineering Research (GII) at the University of Coruña, in Spain. It evolves variable size feedforward artificial neural networks (ANN) that are encoded into sequences of genes for constructing a basic ANN unit. Each of these blocks is preceded by a gene promoter acting as an on/off switch that determines if that particular unit will be expressed
brand slug:
wiki
category slug:
encyclopedia
description:
original url:
https://en.wikipedia.org/wiki/Promoter_based_genetic_algorithm
date created:
date modified:
2023-10-06T19:26:09Z
main entity:
{"identifier":"Q6087864","url":"https://www.wikidata.org/entity/Q6087864"}
image:
fields total:
13
integrity:
13