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- W4289209229 abstract "In a smart chemical plant, knowing the process state at any moment is crucial with impact on aspects such as economic, safety, or control. The information is collected by sensors distributed throughout the plant, responsible for measuring and transmitting the values of temperature, humidity, pressure, among others. The set of devices used in the measurement is called the sensor network (SN). Consequently, their design optimization implies importance and huge capital cost. We propose an intelligent optimization solver based on a Parallel Hybrid Simulated Annealing (PHSA) to solve it. The parallelism is applied at the algorithmic level, following a cooperative model. Among the migration parameters, the replacement criteria have an important role in the PHSA performance. Our main objective is to analyze the PHSA behavior by considering different replacement criteria. The results obtained by PHSA achieve the best-known solution for large and complex SN cases. Furthermore, the parallel HSA exhibits efficient scalability to solve the SN distribution problem." @default.
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- W4289209229 date "2022-01-01" @default.
- W4289209229 modified "2023-10-12" @default.
- W4289209229 title "Parallel Simulated Annealing approach for optimal process plants instrumentation" @default.
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- W4289209229 doi "https://doi.org/10.1016/b978-0-323-95879-0.50215-0" @default.
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