Applications – Science and Engineering

Resilience assessment for interdependent urban infrastructure systems using dynamic network flow models

  • Panagiotis Angeloudis
  • Nils Goldbeck
  • Washington Ochieng
    • Categories Civil and Environmental Engineering, Optimization of Simulated Systems, Transportation

    Critical infrastructure systems in cities are becoming increasingly interdependent, therefore exacerbating the impacts of disruptive events through cascading failures, hindered asset repairs and network congestion. Current resilience assessment methods fall short of fully capturing such interdependency effects as they tend to model asset reliability and network flows separately and often rely on static flow assignment … Read more

    Predicting the vibroacoustic quality of steering gears

  • Paul Alexandru Bucur
  • Philipp Hungerländer
  • Klaus Frick
    • Categories Data-Mining, Mechanical Engineering, Statistics Tags , , ,

    In the daily operations of ThyssenKrupp Presta AG, ball nut assemblies (BNA) undergo a vibroacoustical quality test and are binary classified based on their order spectra. In this work we formulate a multiple change point problem and derive optimal quality intervals and thresholds for the order spectra that minimize the number of incorrectly classified BNA. … Read more

    Leveraging Predictive Analytics to Control and Coordinate Operations, Asset Loading and Maintenance

  • Nagi Gebraeel
  • Xu Andy Sun
  • Murat Yildirim
    • Categories Applications - OR and Management Sciences, Energy, Scheduling Tags , , , ,

    This paper aims to advance decision-making in power systems by proposing an integrated framework that combines sensor data analytics and optimization. Our modeling framework consists of two components: (1) a predictive analytics methodology that uses real-time sensor data to predict future degradation and remaining lifetime of generators as a function of the loading conditions, and … Read more

    Efficient Solution of Maximum-Entropy Sampling Problems

  • Kurt M. Anstreicher
    • Categories (Mixed) Integer Nonlinear Programming, Convex Optimization, Statistics Tags , ,

    We consider a new approach for the maximum-entropy sampling problem (MESP) that is based on bounds obtained by maximizing a function of the form ldet M(x) over linear constraints, where M(x)is linear in the n-vector x. These bounds can be computed very efficiently and are superior to all previously known bounds for MESP on most … Read more

    Multistage Stochastic Demand-side Management for Price-Making Major Consumers of Electricity in a Co-optimized Energy and Reserve Market

  • Anthony Downward
  • Mahbubeh Habibian
  • Golbon Zakeri
    • Categories (Mixed) Integer Linear Programming, Applications - OR and Management Sciences, Energy Tags , ,

    In this paper we take an optimization-driven heuristic approach, motivated by dynamic programming, to solve a multistage stochastic optimization of energy consumption for a large manufacturer who is a price-making major consumer of electricity. We introduce a mixed-integer program that co-optimizes consumption bids and interruptible load reserve offers, for such a major consumer over a … Read more

    Maximizing the storage capacity of gas networks: a global MINLP approach

  • Robert Burlacu
  • Martin Gross
  • Marc E. Pfetsch
  • Lars Schewe
  • Mathias Sirvent
  • Herbert Egger
  • Alexander Martin
  • Martin Skutella
    • Categories (Mixed) Integer Nonlinear Programming, Optimization of Systems modeled by PDEs Tags , , , ,

    In this paper, we study the transient optimization of gas networks, focusing in particular on maximizing the storage capacity of the network. We include nonlinear gas physics and active elements such as valves and compressors, which due to their switching lead to discrete decisions. The former is described by a model derived from the Euler … Read more

    Correlation analysis between the vibroacoustic behavior of steering gear and ball nut assemblies in the automotive industry

  • Paul Alexandru Bucur
  • Philipp Hungerländer
  • Klaus Frick
    • Categories Data-Mining, Mechanical Engineering, Statistics Tags , ,

    The increase in quality standards in the automotive industry requires specifications to be propagated across the supply chain, a challenge exacerbated in domains where the quality is subjective. In the daily operations of ThyssenKrupp Presta AG, requirements imposed on the vibroacoustic quality of steering gear need to be passed down to their subcomponents. We quantify … Read more

    Interior Point Methods and Preconditioning for PDE-Constrained Optimization Problems Involving Sparsity Terms

  • John W. Pearson
  • Margherita Porcelli
  • Martin Stoll
    • Categories Control Applications, Nonlinear Optimization, Systems governed by Differential Equations Optimization Tags , , , , ,

    PDE-constrained optimization problems with control or state constraints are challenging from an analytical as well as numerical perspective. The combination of these constraints with a sparsity-promoting L1 term within the objective function requires sophisticated optimization methods. We propose the use of an Interior Point scheme applied to a smoothed reformulation of the discretized problem, and … Read more

    Solution for short-term hydrothermal scheduling with a logarithmic size MILP formulation

  • Jinbao Jian
  • Shanshan Pan
  • Linfeng Yang
    • Categories Applications - Science and Engineering Tags , , , ,

    Short-term hydrothermal scheduling (STHS) is a non-convex and non-differentiable optimization problem that is difficult to solve efficiently. One of the most popular strategy is to reformulate the complicated STHS by various linearization techniques that makes the problem easy to solve. However, in this process, a large number of extra continuous variables, binary variables and constraints … Read more

    Scalable Algorithms for the Sparse Ridge Regression

  • Xinwei Deng
  • Weijun Xie
    • Categories Approximation Algorithms, Data-Mining, Integer Programming Tags , , , ,

    Sparse regression and variable selection for large-scale data have been rapidly developed in the past decades. This work focuses on sparse ridge regression, which enforces the sparsity by use of the L0 norm. We first prove that the continuous relaxation of the mixed integer second order conic (MISOC) reformulation using perspective formulation is equivalent to … Read more