CGD-GA: A graph-based genetic algorithm for sensor network design

CARBALLIDO, JESSICA ANDREA; PONZONI, IGNACIO; BRIGNOLE, NÉLIDA BEATRIZ

INFORMATION SCIENCES

Elsevier B.V.

Año: 2007 vol. 177 p. 5091 - 5102

0020-0255

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 definition of the individual’s representation as well as the design of a graph-based fitness function, along with the formulation of several other ad hoc implemented features. The performance and effectiveness 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 configuration. Therefore, the GA constitutes a valuable tool for the treatment of real industrial problems.