Tightening Quadratic Convex Relaxations for the Alternating Current Optimal Transmission Switching Problem

  • Cheng Guo
  • Harsha Nagarajan
  • Merve Bodur
    • Categories (Mixed) Integer Nonlinear Programming, Convex Optimization, Nonlinear Optimization Tags , , , ,

    The Alternating Current Optimal Transmission Switching (ACOTS) problem incorporates line switching decisions into the AC Optimal Power Flow (ACOPF) framework, offering well-known benefits in reducing operational costs and enhancing system reliability. ACOTS optimization models contain discrete variables and nonlinear, non-convex constraints, which make it difficult to solve. In this work, we develop strengthened quadratic convex … Read more

    A mixed-integer exponential cone programming formulation for feature subset selection in logistic regression

  • Sahand Asgharieh Ahari
  • Burak Kocuk
    • Categories Optimization in Data Science Tags , , ,

    Logistic regression is one of the widely-used classification tools to construct prediction models. For datasets with a large number of features, feature subset selection methods are considered to obtain accurate and interpretable prediction models, in which irrelevant and redundant features are removed. In this paper, we address the problem of feature subset selection in logistic … Read more

    Data-Driven Stochastic Dual Dynamic Programming: Performance Guarantees and Regularization Schemes

  • Hyuk Park
  • Zhuangzhuang Jia
  • Grani A. Hanasusanto
    • Categories Stochastic Programming Tags , , ,

    We propose a data-driven extension of the stochastic dual dynamic programming (SDDP) algorithm for multistage stochastic linear programs under a continuous-state, non-stationary Markov data process. Unlike traditional SDDP methods—which often assume a known probability distribution, stagewise independent data process, or uncertainty restricted to the right-hand side of constraints—our approach overcomes these limitations, making it more … Read more

    A branch-and-bound algorithm for non-convex Nash equilibrium problems

  • Peter Kirst
  • Stefan Schwarze
  • Oliver Stein
    • Categories Game Theory Tags , , , ,

    This paper introduces a spatial branch-and-bound method for the approximate computation of the set of all epsilon-Nash equilibria of continuous box-constrained non-convex Nash equilibrium problems. We explain appropriate discarding and fathoming techniques, provide a termination proof for a prescribed approximation tolerance, and report our computational experience. ArticleDownload View PDF

    Globally linearly convergent nonlinear conjugate gradients without Wolfe line search

  • Arnold Neumaier
  • Morteza Kimiaei
  • Behzad Azmi
    • Categories Nonlinear Optimization Tags

    This paper introduces a new nonlinear conjugate gradient (CG) method using an efficient gradient-free line search method. Unless function values diverge to $-\infty$, global convergence to a stationary point is proved for continuously differentiable objective functions with Lipschitz continuous gradient, and global linear convergence if this stationary point is a strong local minimizer. The $n$-iterations … Read more

    Regularized Nonsmooth Newton Algorithms for Best Approximation

  • Yair Censor
  • Walaa M. Moursi
  • Tyler Weames
  • Henry Wolkowicz
    • Categories Convex Optimization, Linear Programming, Nonsmooth Optimization Tags , , , , ,

    We consider the problem of finding the best approximation point from a polyhedral set, and its applications, in particular to solving large-scale linear programs. The classical projection problem has many various and many applications. We study a regularized nonsmooth Newton type solution method where the Jacobian is singular; and we compare the computational performance to … Read more

    Γ-robust Optimization of Project Scheduling Problems

  • Arie M.C.A. Koster
  • Jenny Segschneider
    • Categories Applications - OR and Management Sciences, Scheduling Tags , , , ,

    In this paper, we investigate the problem of finding a robust baseline schedule for the project scheduling problem under uncertain process times. We assume that the probability distribution for the duration is unknown but an estimation together with an interval in which this time can vary is given. At most $ \Gamma $ of the … Read more

    Global Optimization of Mixed-Integer Nonlinear Programs with SCIP 8.0

  • Ksenia Bestuzheva
  • Antonia Chmiela
  • Benjamin Müller
  • Felipe Serrano
  • Stefan Vigerske
  • Fabian Wegscheider
    • Categories (Mixed) Integer Nonlinear Programming, Global Optimization, Optimization Software and Modeling Systems Tags , , ,

    For over ten years, the constraint integer programming framework SCIP has been extended by capabilities for the solution of convex and nonconvex mixed-integer nonlinear programs (MINLPs). With the recently published version 8.0, these capabilities have been largely reworked and extended. This paper discusses the motivations for recent changes and provides an overview of features that … Read more

    Distributionally robust chance-constrained Markov decision processes

  • Hoang Nam Nguyen
  • Abdel Lisser
  • Vikas Vikram Singh
    • Categories Stochastic Programming Tags , , , , ,

    Markov decision process (MDP) is a decision making framework where a decision maker is interested in maximizing the expected discounted value of a stream of rewards received at future stages at various states which are visited according to a controlled Markov chain. Many algorithms including linear programming methods are available in the literature to compute … Read more