Journal Article10.1016/j.ces.2021.117135
Data-driven optimization for process systems engineering applications
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TL;DR: In this article , the authors investigate how perceived state-of-the-art derivative-free optimization (DFO) algorithms address different instances of these problems in process engineering and compare them on one mathematical optimization problem and five chemical engineering applications: model-based design of experiments, flowsheet optimization, real-time optimization, self-optimizing reactions and controller tuning.
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About: This article is published in Chemical Engineering Science. The article was published on 01 Feb 2022. The article focuses on the topics: Engineering optimization & Benchmark (surveying).
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