This work presents an analysis on the behavior of a particular metaheuristic technique inspired by Simulated Annealing, SA, for the resolution of a problem of sensor network design in process plants, SNDP. This design problem is formulated as a combinatorial optimization problem and includes the selection and determination of the number of process variables that must be measured to achieve the specific state of knowledge about the plant. Different parametric configurations for the proposed heuristic are analyzed and discussed, as well as their performance in plants of increasing size and complexity.XX Workshop Agentes y Sistemas Inteligentes.Red de Universidades con Carreras en Informátic
A Multi-Objective Genetic Algorithm (MOGA) application, which is based on the aggregating approach, ...
. In the optimal plant location and sizing problem it is desired to optimize a cost function involvi...
This is post-print (post refereeing) version. The published version can be obtained via Sciencedire...
Sensor network design problem (SNDP) in process plants includes the determination of which process v...
Process information is the foundation upon which many common tasks in chemical plants are based. To ...
El problema de diseño de una red de sensores en plantas de proceso (Sensor Network Design Problem, S...
In this work the optimal design of sensor networks for chemical plants is addressed using stochastic...
The optimal design of sensor networks consists in selecting the type, number and location of sensors...
En este trabajo se compara el desempeño de la estrategia determinística Branch y Bound y una estrate...
The design of optimal sensor networks for an industrial process is a complex problem that requires t...
In this work, a procedure for solving the optimal design and upgrade of linear sensor networks, subj...
The optimization problems Los problemas de optimización del diseño de redes de distribución de ...
Simulated Annealing (SA) is a heuristic solution strategy to find an optimal solution in a problem w...
This thesis investigates the hybrid application of stochastic and heuristic algorithms, in particula...
In this thesis, a class of combinatorial optimization methods rooted in statistical mechanics and th...
A Multi-Objective Genetic Algorithm (MOGA) application, which is based on the aggregating approach, ...
. In the optimal plant location and sizing problem it is desired to optimize a cost function involvi...
This is post-print (post refereeing) version. The published version can be obtained via Sciencedire...
Sensor network design problem (SNDP) in process plants includes the determination of which process v...
Process information is the foundation upon which many common tasks in chemical plants are based. To ...
El problema de diseño de una red de sensores en plantas de proceso (Sensor Network Design Problem, S...
In this work the optimal design of sensor networks for chemical plants is addressed using stochastic...
The optimal design of sensor networks consists in selecting the type, number and location of sensors...
En este trabajo se compara el desempeño de la estrategia determinística Branch y Bound y una estrate...
The design of optimal sensor networks for an industrial process is a complex problem that requires t...
In this work, a procedure for solving the optimal design and upgrade of linear sensor networks, subj...
The optimization problems Los problemas de optimización del diseño de redes de distribución de ...
Simulated Annealing (SA) is a heuristic solution strategy to find an optimal solution in a problem w...
This thesis investigates the hybrid application of stochastic and heuristic algorithms, in particula...
In this thesis, a class of combinatorial optimization methods rooted in statistical mechanics and th...
A Multi-Objective Genetic Algorithm (MOGA) application, which is based on the aggregating approach, ...
. In the optimal plant location and sizing problem it is desired to optimize a cost function involvi...
This is post-print (post refereeing) version. The published version can be obtained via Sciencedire...