Sensor Location for water systems: A Stochastic Design Approach

CARNERO MERCEDES; HERNÁNDEZ JOSÉ; SANCHEZ MABEL

Computer-Aided Chemical Engineering

Elsevier

Lugar: Oxford; Año: 2012 vol. 31 p. 300 - 304

1570-7946

The optimal design of sensor networks consists in selecting the type, number and location of sensors that provide the required quantity and quality of process information by optimizing an appropriate objective. The problem is multimodal and involves many binary variables, therefore a huge combinatorial optimization problem results. In this work, the design for water systems is addressed using metaheuristics. A strategy that combines the advantages of Tabu Search and Estimation of Distribution Algorithms is devised, which is able to solve high scale designs since it can be executed in parallel.