Applications – Science and Engineering

Constrained Bayesian Accelerated Design of Acoustic Polyurethane Coatings with Metamaterial Features Under Hydrostatic Pressure

  • Elnaz Hajizadeh
    • Categories Civil and Environmental Engineering, Mechanical Engineering Tags , , ,

    Here we propose a novel, fully automated framework for accelerated design of underwater acoustic coatings, targeting the reduction of acoustic signature of naval platforms under operational conditions, by coupling Bayesian Optimization (BO) with a 2-step Finite Element Model (FEM). The developed FEMs evaluate the acoustic performance of polyurethane (PU) coatings with embedded metamaterial features under … Read more

    Data-Driven Multistage Scheduling Optimization for Refinery Production under Uncertainty: Systematic Framework, Modeling Approach, and Application Analysis

  • Biao Han
    • Categories Control Applications, Scheduling, Stochastic Programming Tags , , , , , , ,

    The widespread existence of various uncertainties makes the inherently complex refinery production scheduling problem even more challenging. To address this issue, this paper proposes a viable systematic data-driven multistage scheduling optimization framework and develops a corresponding structured modeling methodology. Under this paradigm, unit-level advanced control and plant-level intelligent scheduling are coordinated to jointly deal with … Read more

    A Framework for Explainable Knowledge Generation with Expensive Sample Evaluations

  • Alberto Costa
    • Categories Global Optimization, Multidisciplinary Design Optimization, Optimization of Simulated Systems Tags , , ,

    Real world problems often require complex modeling and computation efforts to be effectively addressed. Relying solely on data-driven approaches without integrating physics-based models can result in limited predictive capabilities. Even advanced techniques such as deep learning may be impractical for decision-makers due to the lack of data and challenges in justifying and explaining results. In … Read more

    Stability Regularized Cross-Validation

  • Ryan Cory-Wright
  • Andrés Gómez
    • Categories Data-Mining

    We revisit the problem of ensuring strong test-set performance via cross-validation. Motivated by the generalization theory literature, we propose a nested k-fold cross- validation scheme that selects hyperparameters by minimizing a weighted sum of the usual cross-validation metric and an empirical model-stability measure. The weight on the stability term is itself chosen via a nested … Read more

    Alternating Methods for Large-Scale AC Optimal Power Flow with Unit Commitment

  • Matthew Brun
  • Thomas Lee
  • Dirk Lauinger
  • Xin Chen
  • Xu Andy Sun
    • Categories (Mixed) Integer Nonlinear Programming, Energy Tags , , ,

    Security-constrained unit commitment with alternating current optimal power flow (SCUC-ACOPF) is a central problem in power grid operations that optimizes commitment and dispatch of generators under a physically accurate power transmission model while encouraging robustness against component failures.  SCUC-ACOPF requires solving large-scale problems that involve multiple time periods and networks with thousands of buses within … Read more

    A data-driven robust approach to a problem of optimal replacement in maintenance

  • Sina Shahri Majarshin
  • Ahmadreza Marandi
  • Geert-Jan van Houtum
    • Categories Applications - OR and Management Sciences, Robust Optimization, Statistics Tags , , ,

    Maintenance strategies are pivotal in ensuring the reliability and performance of critical components within industrial machines and systems. However, accurately determining the optimal replacement time for such components under stress and deterioration remains a complex task due to inherent uncertainties and variability in operating conditions. In this paper, we propose a comprehensive approach based on … Read more

    Global Optimization of Gas Transportation and Storage: Convex Hull Characterizations and Relaxations

  • Bahar Okumusoglu
  • Burak Kocuk
    • Categories (Mixed) Integer Linear Programming, Energy, Global Optimization Tags , , ,

    Gas transportation and storage has become one of the most relevant and important optimization problems in energy systems. This problem inherently includes highly nonlinear and nonconvex aspects due to gas physics, and discrete aspects due to the control decisions of active network elements. Obtaining even locally optimal solutions for this problem presents significant mathematical and … Read more

    A Foundational Perspective for Partitional Clustering on Networks

  • Derya Ipek Eroglu
  • Cem Iyigun
    • Categories Data Science Theory, Data-Mining, Optimization in Data Science Tags , , ,

    This study presents a theoretical analysis of partitional clustering on networks. Different versions of the problem are studied considering different assignment schemes (hard and soft) and different objective functions. Cluster centers are not restricted to only the set of nodes, it is assumed that centers can also be at the edges of the network. Four … Read more

    Superiorization and Perturbation Resilience of Algorithms: A Continuously Updated Bibliography

  • Yair Censor
    • Categories Applications - Science and Engineering, Constrained Nonlinear Optimization Tags , , ,

    This document presents a (mostly) chronologically-ordered bibliography of scientific publications on the superiorization methodology and perturbation resilience of algorithms which is compiled and continuously updated by us at: http://math.haifa.ac.il/yair/bib-superiorization-censor.html. Since the beginnings of this topic we try to trace the work that has been published about it since its inception. To the best of our … Read more

    Sequential Rounding in Mixed-Integer Model Predictive Control

  • Artemi Makarow
  • Christian Kirches
    • Categories Approximation Algorithms, Control Applications, Systems governed by Differential Equations Optimization Tags , , ,

    This paper interfaces combinatorial integral approximation strategies with the inherent robustness properties of conventional model predictive control with stabilizing terminal conditions to establish practical asymptotic stability results for finite-control set and mixed-integer model predictive control. We examine the impact of sequential control rounding on the closed-loop performance in terms of stability and optimality. Sum-up rounding … Read more