Publications

If you wish to add publications to this list, please contact Jane Engel (jane.engel@netl.doe.gov) to help keep this publications list, and the corresponding EndNote library, synchronized. Thank you!

Cozad, A., Biegler L. T., & Wilson Z. (2015).  Learning Models of Unspecified Functional Form through Symbolic Regression. AIChE Annual Meeting.
Cozad, A., Sahinidis N., & Miller D. C. (2015).  A combined first-principles and data-driven approach to model building. Computers & Chemical Engineering. 73, 116–127.
Cozad, A., Sahinidis N., & Wilson Z. (2015).  A Reduced-Order Building Approach to Simulation-Based Optimization of Complex Energy Systems. AIChE Annual Meeting.
Cozad, A. (2014).  Data- and Theory-driven Techniques for Surrogate-based Optimization.
Cozad, A., Sahinidis N., & Miller D. C. (2014).  Learning Surrogate Models for Simulation-Based Optimization. AIChE Journal. 60, 2211-2227.
Sahinidis, N. V., Cozad A., Miller D. C., & Wilson Z. (2014).  Extending the Scope of Algebraic MINLP Solvers to Black- and Grey-box Optimization. AIChE Annual Meeting.
Cozad, A., & Sahinidis N. (2013).  Automatic Learning of Algebraic Models for Optimization. INFORMS Annual Meeting.
Cozad, A., Sahinidis N., & Miller D. C. (2013).  ALAMO: Automatic Learning of Algebraic Models for Optimization. AIChE Annual Meeting.
Cozad, A., Sahinidis N., & Miller D. C. (2013).  Strengthened Regression Models through Response Variable Bounds. Energy Systems Initiative Annual Meeting.
Cozad, A., Sahinidis N., Yuan Z., & Miller D. C. (2013).  Optimizing Simulations and Black-boxes using a Surrogated-based Approach.
Miller, D. C., Sahinidis N., Cozad A., Lee A., Kim H., Morinelly J. E., et al. (2013).  Computational Tools for Accelerating Carbon Capture Process Development. The 38th International Technical Conference on Clean Coal & Fuel Systems.
Cozad, A., Sahinidis N., & Miller D. C. (2012).  ALAMO: Automatic Learning of Algebraic Models for Optimization. AIChE Annual Meeting.
Cozad, A., Sahinidis N., & Miller D. C. (2012).  Learning Process Models from Simulations.
Cozad, A., Sahinidis N., & Miller D. C. (2012).  Surrogate-Based Optimization of Simulated Energy Systems. AIChE Annual Meeting. Paper 54g,
Miller, D. C., Sahinidis N., Kim H., Cozad A., Yuan Z., Konda M., et al. (2012).  Synthesis of Optimal Capture Processes using Advanced Optimization. 11th Annual Conference on Carbon Capture & Sequestration.
Sahinidis, N., Cozad A., & Miller D. C. (2012).  Derivative-Free Optimization Enhanced-Surrogate Model Development for Optimization. INFORMS Annual Meeting.
Sahinidis, N., Cozad A., & Miller D. C. (2012).  Derivative-Free Optimization Enhanced-Surrogate Models for Energy Systems Optimization. 9th International Conference on Computational Management Science (CMS 2012).
Yuan, Z., Cozad A., Sahinidis N., & Miller D. C. (2012).  Surrogate Model Based Optimal Synthesis of Solid Sorbent Carbon Capture. AIChE Annual Meeting.
Cozad, A., Chang YJ., Sahinidis N., & Miller D. C. (2011).  Optimization of Carbon Capture Systems Using Surrogate Models of Simulated Processes. AIChE Annual Meeting.
Cozad, A., & Sahinidis N. (2011).  Derivative-Free Optimization Enhanced-Surrogate Models for Energy Systems Optimization. INFORMS Annual Meeting.
Cozad, A., Sahinidis N., & Miller D. C. (2011).  A Computational Methodology for Learning Low-Complexity Surrogate Models of Processes from Experiments or Simulations. AIChE Annual Meeting.
Cozad, A., Sahinidis N., & Miller D. C. (2011).  Learning Surrogate Models for Simulation-Based Optimization. AIChE Annual Meeting.
Cozad, A., Sahinidis N., & Miller D. C. (2010).  Optimization of Power Plant Simulations with Integrated Carbon Capture Systems Using Black-Box Algorithms. AIChE Annual Meeting.