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Tuning a hybrid SA based algorithm applied to Optimal Sensor Network Design
Keywords:
Cooling Schedule, Optimization, Sensor networks, Simulated Annealing
Abstract
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 are researching on the adjustments of its control parameters to obtain the best 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.
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Published
2020-05-26
How to Cite
MinettiG. F., Hernandez J., CarneroM., SaltoC., BermudezC., & SanchezM. (2020). Tuning a hybrid SA based algorithm applied to Optimal Sensor Network Design. Journal of Computer Science and Technology, 20(1), e03. https://doi.org/10.24215/16666038.20.e03
Section
Original Articles
Copyright (c) 2020 Gabriela F. Minetti
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
