Search Results - "Boukouvala, Fani"
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1
Surrogate-based optimization for mixed-integer nonlinear problems
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
Data-driven spatial branch-and-bound algorithms for box-constrained simulation-based optimization
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
Surrogate-based branch-and-bound algorithms for simulation-based black-box optimization
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
Surrogate-Based Optimization of Expensive Flowsheet Modeling for Continuous Pharmaceutical Manufacturing
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
Feasibility analysis of black-box processes using an adaptive sampling Kriging-based method
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
An integrated approach for dynamic flowsheet modeling and sensitivity analysis of a continuous tablet manufacturing process
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 -
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Optimization with Neural Network Feasibility Surrogates: Formulations and Application to Security-Constrained Optimal Power Flow
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
Computer-Aided Flowsheet Simulation of a Pharmaceutical Tablet Manufacturing Process Incorporating Wet Granulation
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
Two-Stage Approach to Parameter Estimation of Differential Equations Using Neural ODEs
Published in Industrial & engineering chemistry research (17-11-2021)“…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
Improvement of Tablet Coating Uniformity Using a Quality by Design Approach
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
Machine learning-based surrogate modeling for data-driven optimization: a comparison of subset selection for regression techniques
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
ARGONAUT: AlgoRithms for Global Optimization of coNstrAined grey-box compUTational problems
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
Nonlinear variable selection algorithms for surrogate modeling
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
Surrogate-based branch-and-bound algorithms for simulation-based black-box optimization
Published in Optimization and engineering (02-09-2022)“…Not provided…”
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Journal Article -
15
Global optimization advances in Mixed-Integer Nonlinear Programming, MINLP, and Constrained Derivative-Free Optimization, CDFO
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
Perspectives on the integration between first-principles and data-driven modeling
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
Enabling global interpolation, derivative estimation and model identification from sparse multi-experiment time series data via neural ODEs
Published in Engineering applications of artificial intelligence (01-04-2024)“…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
Physics-based Penalization for Hyperparameter Estimation in Gaussian Process Regression
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
Managing uncertainty in data-driven simulation-based optimization
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
Optimal design of energy systems using constrained grey-box multi-objective optimization
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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