Search Results - "Boukouvala, Fani"

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  1. 1

    Surrogate-based optimization for mixed-integer nonlinear problems by Kim, Sun Hye, Boukouvala, Fani

    Published in Computers & chemical engineering (02-09-2020)
    “…Simulation-based optimization using surrogate models enables decision-making through the exchange of data from high-fidelity models and development of…”
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    Journal Article
  2. 2

    Data-driven spatial branch-and-bound algorithms for box-constrained simulation-based optimization by Zhai, Jianyuan, Boukouvala, Fani

    Published in Journal of global optimization (2022)
    “…The ability to use complex computer simulations in quantitative analysis and decision-making is highly desired in science and engineering, at the same rate as…”
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    Journal Article
  3. 3

    Surrogate-based branch-and-bound algorithms for simulation-based black-box optimization by Zhai, Jianyuan, Boukouvala, Fani

    Published in Optimization and engineering (01-09-2023)
    “…Black-box surrogate-based optimization has received increasing attention due to the growing interest in solving optimization problems with embedded simulation…”
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    Journal Article
  4. 4

    Surrogate-Based Optimization of Expensive Flowsheet Modeling for Continuous Pharmaceutical Manufacturing by Boukouvala, Fani, Ierapetritou, Marianthi G.

    Published in Journal of pharmaceutical innovation (01-06-2013)
    “…Simulation-based optimization is a research area that is currently attracting a lot of attention in many industrial applications, where expensive simulators…”
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    Journal Article
  5. 5

    Feasibility analysis of black-box processes using an adaptive sampling Kriging-based method by Boukouvala, Fani, Ierapetritou, Marianthi G.

    Published in Computers & chemical engineering (10-01-2012)
    “…► We use Kriging as a surrogate method to perform feasibility analysis. ► An adaptive sampling technique locates boundaries of the feasible region. ►…”
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    Journal Article
  6. 6

    An integrated approach for dynamic flowsheet modeling and sensitivity analysis of a continuous tablet manufacturing process by Boukouvala, Fani, Niotis, Vasilios, Ramachandran, Rohit, Muzzio, Fernando J., Ierapetritou, Marianthi G.

    Published in Computers & chemical engineering (11-07-2012)
    “…Manufacturing of powder-based products is a focus of increasing research in the recent years. The main reason is the lack of predictive process models…”
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    Journal Article Conference Proceeding
  7. 7

    Optimization with Neural Network Feasibility Surrogates: Formulations and Application to Security-Constrained Optimal Power Flow by Kilwein, Zachary, Jalving, Jordan, Eydenberg, Michael, Blakely, Logan, Skolfield, Kyle, Laird, Carl, Boukouvala, Fani

    Published in Energies (Basel) (01-08-2023)
    “…In many areas of constrained optimization, representing all possible constraints that give rise to an accurate feasible region can be difficult and…”
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    Journal Article
  8. 8

    Computer-Aided Flowsheet Simulation of a Pharmaceutical Tablet Manufacturing Process Incorporating Wet Granulation by Boukouvala, Fani, Chaudhury, Anwesha, Sen, Maitraye, Zhou, Ruijie, Mioduszewski, Lukasz, Ierapetritou, Marianthi G., Ramachandran, Rohit

    Published in Journal of pharmaceutical innovation (01-03-2013)
    “…In this work, a dynamic flowsheet model for the production of pharmaceutical tablets through a continuous wet granulation process is developed. The unit…”
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    Journal Article
  9. 9

    Two-Stage Approach to Parameter Estimation of Differential Equations Using Neural ODEs by Bradley, William, Boukouvala, Fani

    “…Modeling physiochemical relationships using dynamic data is a common task in fields throughout science and engineering. A common step in developing…”
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    Journal Article
  10. 10

    Improvement of Tablet Coating Uniformity Using a Quality by Design Approach by Dubey, Atul, Boukouvala, Fani, Keyvan, Golshid, Hsia, Richard, Saranteas, Kostas, Brone, Dean, Misra, Tushar, Ierapetritou, Marianthi G., Muzzio, Fernando J.

    Published in AAPS PharmSciTech (01-03-2012)
    “…A combination of analytical and statistical methods is used to improve a tablet coating process guided by quality by design (QbD) principles. A solid dosage…”
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    Journal Article
  11. 11

    Machine learning-based surrogate modeling for data-driven optimization: a comparison of subset selection for regression techniques by Kim, Sun Hye, Boukouvala, Fani

    Published in Optimization letters (01-06-2020)
    “…Optimization of simulation-based or data-driven systems is a challenging task, which has attracted significant attention in the recent literature. A very…”
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    Journal Article
  12. 12

    ARGONAUT: AlgoRithms for Global Optimization of coNstrAined grey-box compUTational problems by Boukouvala, Fani, Floudas, Christodoulos A.

    Published in Optimization letters (01-06-2017)
    “…The algorithmic framework ARGONAUT is presented for the global optimization of general constrained grey-box problems. ARGONAUT incorporates variable selection,…”
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    Journal Article
  13. 13

    Nonlinear variable selection algorithms for surrogate modeling by Zhai, Jianyuan, Boukouvala, Fani

    Published in AIChE journal (01-08-2019)
    “…Having the ability to analyze, simulate, and optimize complex systems is becoming more important in all engineering disciplines. Decision‐making using complex…”
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    Journal Article
  14. 14
  15. 15

    Global optimization advances in Mixed-Integer Nonlinear Programming, MINLP, and Constrained Derivative-Free Optimization, CDFO by Boukouvala, Fani, Misener, Ruth, Floudas, Christodoulos A.

    Published in European journal of operational research (01-08-2016)
    “…•We review the recent advances in global optimization for Mixed Integer Nonlinear Programming, MINLP.•We review the recent advances in global optimization for…”
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    Journal Article
  16. 16

    Perspectives on the integration between first-principles and data-driven modeling by Bradley, William, Kim, Jinhyeun, Kilwein, Zachary, Blakely, Logan, Eydenberg, Michael, Jalvin, Jordan, Laird, Carl, Boukouvala, Fani

    Published in Computers & chemical engineering (01-10-2022)
    “…•Strengths and limits of modeling frameworks merging first-principles and data are evaluated.•Hybrid first-principles, data-driven methods generally outperform…”
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    Journal Article
  17. 17

    Enabling global interpolation, derivative estimation and model identification from sparse multi-experiment time series data via neural ODEs by Bradley, William, Volkovinsky, Ron, Boukouvala, Fani

    “…Estimation of the rate of change of a system's states from state measurements is a key step in several system analysis and model-building workflows. While…”
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    Journal Article
  18. 18

    Physics-based Penalization for Hyperparameter Estimation in Gaussian Process Regression by Kim, Jinhyeun, Luettgen, Christopher, Paynabar, Kamran, Boukouvala, Fani

    Published in Computers & chemical engineering (01-10-2023)
    “…•Physics-based equality constraints can be applied as soft-constraints through a penalized Maximum-Likelihood estimation function.•Physics-based penalization…”
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    Journal Article
  19. 19

    Managing uncertainty in data-driven simulation-based optimization by Hüllen, Gordon, Zhai, Jianyuan, Kim, Sun Hye, Sinha, Anshuman, Realff, Matthew J., Boukouvala, Fani

    Published in Computers & chemical engineering (08-05-2020)
    “…Optimization using data from complex simulations has become an attractive decision-making option, due to ability to embed high-fidelity, non-linear…”
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    Journal Article
  20. 20

    Optimal design of energy systems using constrained grey-box multi-objective optimization by Beykal, Burcu, Boukouvala, Fani, Floudas, Christodoulos A., Pistikopoulos, Efstratios N.

    Published in Computers & chemical engineering (04-08-2018)
    “…•p-ARGONAUT is extended towards constrained multi-objective optimization problems.•Data-driven approach is followed to optimize an energy market design…”
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    Journal Article