Estimation of Distribution Algorithms: Applications to the Design of Process Sensor Networks
Mercedes Carnero, José Luis Hernández, Mabel Sánchez · CLEI electronic journal · 2009
The optimal location of sensors involves the selection of type, number and location of sensorsfrom a set of available instruments with certain values of cost, precision and reliability. Theoptimal design not only satisfies economic criteria, but also some requirements on the qualityof key variable estimates. In this work, a methodology for solving the sensor network designproblem based on Estimation of Distribution Algorithms is presented. These algorithms areincluded in the Evolutionary Computation paradigm and substitute the probability distributionestimation of a population composed by potential solutions and its subsequent sampling forthe use of the classic crossover and mutation operators. The performance of the new strategyis evaluated and compared with that provided by other evolutionary techniques for the case ofa steam metering network of a methanol synthesis plant.