Capítulo de Libro
Autoría
R. Angelini
;
C.A. Méndez
;
E. Musulin
;
L. Puigjaner
Fecha
2006
Editorial y Lugar de Edición
ESLSEVIER
Libro
Computer-Aided Chemical Engineering, 21B
(pp. 1293-1299)
ESLSEVIER
ESLSEVIER
ISBN
0-444-52970-5
Resumen
Información suministrada por el agente en
SIGEVA
The optimal design and upgrade of sensor networks have been receiving an increase in attention for the last few years. This work presents a new methodology based on a MINLP formulation to the optimal design of reliable measurement systems with minimum cost. The applicability of the MINLP model is illustrated through the resolution of a benchmark case study taken from literature and its computational performance is compared with a genetic algorithm-based approach.
Palabras Clave
Optimal designSensor networks