PLAPIQUI 05457
PLANTA PILOTO DE INGENIERIA QUIMICA
Unidad Ejecutora - UE
artículos
Título:
CGD-GA: A graph-based genetic algorithm for sensor network design
Autor/es:
CARBALLIDO, JESSICA A.; PONZONI, IGNACIO; BRIGNOLE, NÉLIDA B.
Revista:
INFORMATION SCIENCES
Editorial:
Elsevier
Referencias:
Año: 2007 vol. 177 p. 5091 - 5102
ISSN:
0020-0255
Resumen:
The foundations and implementation of a genetic algorithm (GA) for instrumentation purposes are presented in this paper. The GA constitutes an initialization module of a decision support system for sensor network design. The method development entailed the de.nition of the individuals representation as well as the design of a graph-based .tness function, along with the formulation of several other ad hoc implemented features. The performance and e.ectiveness of the GA were assessed by initializing the instrumentation design of an ammonia synthesis plant. The initialization provided by the GA succeeded in accelerating the sensor network design procedures. It also accomplished a great improvement in the overall quality of the resulting instrument con.guration. Therefore, the GA constitutes a valuable tool for the treatment of real industrial problems.
