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Tuning a hybrid SA based algorithm applied to Optimal Sensor Network Design/Ajustes de un algoritmo hibrido basado en SA aplicado al diseno optimo de redes de sensores

Journal of Computer Science & Technology, 2020-05, Vol.20 (1), p.23 [Peer Reviewed Journal]

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Title:
Tuning a hybrid SA based algorithm applied to Optimal Sensor Network Design/Ajustes de un algoritmo hibrido basado en SA aplicado al diseno optimo de redes de sensores
Author: Hernandez, Jose ; Salto, Carolina ; Minetti, Gabriela ; Carnero, Mercedes ; Bermudez, Carlos ; Sanchez, Mabel
Subjects: Algorithms ; Sensors
Is Part Of: Journal of Computer Science & Technology, 2020-05, Vol.20 (1), p.23
Description: Sensor network design problem (SNDP) in process plants includes the determination of which process variables should be measured to achieve a required degree of knowledge about the plant. We propose to solve the SNDP problem in plants of increasing size and complexity using a hybrid algorithm based on Simulated Annealing (HSA) as main metaheuristic and Tabu Search embedded with Strategic Oscillation (SOTS) as a subordinate metaheuristic. We studied the tuning of control parameters in order to improve the HSA performance. Experimental results indicate that a high-quality solution in reasonable computational times can be found by HSA effectively. Moreover, HSA shows good features solving SNDP compared with proposals from the literature.
Publisher: Graduate Network of Argentine Universities with Computer Science Schools (RedUNCI)
Language: Spanish
Identifier: ISSN: 1666-6046
DOI: 10.24215/16666038.20.e03
Source: ROAD: Directory of Open Access Scholarly Resources

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