Title :
Optimizing an Artificial Neural Network Generator of Finite Element Meshes
Author :
Alfonzetti, S. ; Dilettoso, E. ; Salerno, N.
Author_Institution :
Dipartimento di Ingegneria Elettrica, Elettronica e dei Sistemi, Catania Univ.
Abstract :
An automatic mesh generator of triangular finite elements, based on an artificial neural network (ANN), is optimized by means of genetic algorithms. The optimization concerns the various parameters which are defined in the generator, whereas the objective function is related to the mesh quality. By means of this optimization the generator obtains very high-quality meshes
Keywords :
genetic algorithms; mesh generation; neural nets; ANN; artificial neural network generator; automatic mesh generator; finite element meshes; genetic algorithms; objective function; triangular finite elements; Artificial neural networks; Finite element methods; Genetic algorithms; Mesh generation; Neural networks;
Conference_Titel :
Electromagnetic Field Computation, 2006 12th Biennial IEEE Conference on
Conference_Location :
Miami, FL
Print_ISBN :
1-4244-0320-0
DOI :
10.1109/CEFC-06.2006.1633250
