Science and Technology Production
Book Chapter
Authorship
R. Angelini
;
C.A. Méndez
;
E. Musulin
;
L. Puigjaner
Date
2006
Publishing House and Editing Place
ESLSEVIER
Book
Computer-Aided Chemical Engineering, 21B
(pp. 1293-1299)
ESLSEVIER
ESLSEVIER
ISBN
0-444-52970-5
Summary
Information provided by the agent in
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.
Key Words
Optimal designSensor networks