Biblio
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Filters: 1 is field_keywords:449 and Author is Cozad, Alison [Reset Search]
A combined first-principles and data-driven approach to model building. Computers & Chemical Engineering. 73:116–127.
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2015. Learning Models of Unspecified Functional Form through Symbolic Regression. AIChE Annual Meeting.
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2015. A Reduced-Order Building Approach to Simulation-Based Optimization of Complex Energy Systems. AIChE Annual Meeting.
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Extending the Scope of Algebraic MINLP Solvers to Black- and Grey-box Optimization. AIChE Annual Meeting.
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2014. Learning Surrogate Models for Simulation-Based Optimization. AIChE Journal. 60:2211-2227.
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2014. ALAMO: Automatic Learning of Algebraic Models for Optimization. AIChE Annual Meeting.
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2013. Automatic Learning of Algebraic Models for Optimization. INFORMS Annual Meeting.
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2013. Computational Tools for Accelerating Carbon Capture Process Development. The 38th International Technical Conference on Clean Coal & Fuel Systems.
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2013. Strengthened Regression Models through Response Variable Bounds. Energy Systems Initiative Annual Meeting.
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2013. ALAMO: Automatic Learning of Algebraic Models for Optimization. AIChE Annual Meeting.
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2012. Derivative-Free Optimization Enhanced-Surrogate Model Development for Optimization. INFORMS Annual Meeting.
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2012. Derivative-Free Optimization Enhanced-Surrogate Models for Energy Systems Optimization. 9th International Conference on Computational Management Science (CMS 2012).
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2012. Surrogate Model Based Optimal Synthesis of Solid Sorbent Carbon Capture. AIChE Annual Meeting.
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2012. Surrogate-Based Optimization of Simulated Energy Systems. AIChE Annual Meeting. Paper 54g
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2012. Synthesis of Optimal Capture Processes using Advanced Optimization. 11th Annual Conference on Carbon Capture & Sequestration.
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2012. A Computational Methodology for Learning Low-Complexity Surrogate Models of Processes from Experiments or Simulations. AIChE Annual Meeting.
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2011. Derivative-Free Optimization Enhanced-Surrogate Models for Energy Systems Optimization. INFORMS Annual Meeting.
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2011. Learning Surrogate Models for Simulation-Based Optimization. AIChE Annual Meeting.
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2011. Optimization of Carbon Capture Systems Using Surrogate Models of Simulated Processes. AIChE Annual Meeting.
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