Multidisciplinary Design Optimization

Minimum weight Topology optimization subject to unsteady heat equation and space-time pointwise constraints — toward automatic optimal riser design in the shape casting process

  • Rouhollah Tavakoli
    • Categories Distributed Control, Mechanical Engineering, Multidisciplinary Design Optimization Tags , , , , ,

    The automatic optimal design of feeding system in the shape casting process is considered in the present work. In fact, the goal is to find the optimal position, size, shape and topology of risers in the shape casting process. This problem is formulated as a minimum weight topology optimization problem subjected to a nonlinear transient … Read more

    Multidisciplinary Free Material Optimization

  • J Haslinger
  • Michal Kočvara
  • Günter Leugering
  • Michael Stingl
    • Categories Mechanical Engineering, Multidisciplinary Design Optimization, Semi-definite Programming Tags , , , ,

    We present a mathematical framework for the so-called multidisciplinary free material optimization (MDFMO) problems, a branch of structural optimization in which the full material tensor is considered as a design variable. We extend the original problem statement by a class of generic constraints depending either on the design or on the state variables. Among the … Read more

    A Sequential Convex Semidefinite Programming Algorithm for Multiple-Load Free Material Optimization

  • Michal Kočvara
  • Günter Leugering
  • Michael Stingl
    • Categories Mechanical Engineering, Multidisciplinary Design Optimization, Semi-definite Programming Tags , ,

    A new method for the efficient solution of free material optimization problems is introduced. The method extends the sequential convex programming (SCP) concept to a class of optimization problems with matrix variables. The basic idea of the new method is to approximate the original optimization problem by a sequence of subproblems, in which nonlinear functions … Read more

    Semidefinite Programming Based Algorithms for Sensor Network Localization

  • Pratik Biswas
  • Yinyu Ye
  • Tzu-Chen Liang
  • Ta-Chung Wang
    • Categories Applications - Science and Engineering, Multidisciplinary Design Optimization, Semi-definite Programming Tags

    An SDP relaxation based method is developed to solve the localization problem in sensor networks using incomplete and inaccurate distance information. The problem is set up to find a set of sensor positions such that given distance constraints are satisfied. The nonconvex constraints in the formulation are then relaxed in order to yield a semidefinite … Read more

    Survivable Energy Markets

  • Gabriella Muratore
    • Categories (Mixed) Integer Linear Programming, Multidisciplinary Design Optimization, Polyhedra Tags , ,

    In this paper we present a centralized model for managing, at the same time, the dayahead energy market and the reserve market in order to price through the market, beside energy, the overall cost of reliability and to assure that the power grid survives the failure of any single components, so to avoid extended blackouts. … Read more

    Societal Implicit Memory and his Speed on Tracking Extrema over Dynamic Environments using Self-Regulatory Swarms

  • Carlos Fernandes
  • Vitorino Ramos
  • Agostinho C. Rosa
    • Categories Multidisciplinary Design Optimization, Nonlinear Optimization, Stochastic Approaches Tags , , , , ,

    In order to overcome difficult dynamic optimization and environment extrema tracking problems, we propose a Self-Regulated Swarm (SRS) algorithm which hybridizes the advantageous characteristics of Swarm Intelligence as the emergence of a societal environmental memory or cognitive map via collective pheromone laying in the landscape (properly balancing the exploration/exploitation nature of the search strategy), with … Read more

    On the Relationship between Bilevel Decomposition Algorithms and Direct Interior-Point Methods

  • Victor DeMiguel
  • Francisco Javier Nogales
    • Categories Constrained Nonlinear Optimization, Multidisciplinary Design Optimization Tags , , ,

    Engineers have been using \emph{bilevel decomposition algorithms} to solve certain nonconvex large-scale optimization problems arising in engineering design projects. These algorithms transform the large-scale problem into a bilevel program with one upper-level problem (the master problem) and several lower-level problems (the subproblems). Unfortunately, there is analytical and numerical evidence that some of these commonly used … Read more

    A Local Convergence Analysis of Bilevel Decomposition Algorithms

  • Victor DeMiguel
  • Walter Murray
    • Categories Multidisciplinary Design Optimization, Nonlinear Optimization Tags , , ,

    Decomposition algorithms exploit the structure of large-scale optimization problems by breaking them into a set of smaller subproblems and a coordinating master problem. Cutting-plane methods have been extensively used to decompose convex problems. In this paper, however, we focus on certain nonconvex problems arising in engineering. Engineers have been using bilevel decomposition algorithms to tackle … Read more

    Intermediate Report on the development of an optimization code for smooth, high computing load, continuous objective functions when derivatives are not available

  • Frank Vanden Berghen
    • Categories Multidisciplinary Design Optimization, Unconstrained Optimization Tags ,

    We find very often in the industry simulators of huge chemical reactors, simulators of huge turbo-compressors, simulators of the path of a satellite in low orbit around earth, … These simulators were written to allow the design engineer to correctly estimate the consequences of the adjustment of one (or many) design variables (or parameters of … Read more

    Socially optimal location of facilities with fixed servers, stochastic demand and congestion

  • Ignacio Castillo
  • Armann Ingolfsson
  • Thaddeus Sim
    • Categories (Mixed) Integer Nonlinear Programming, Multidisciplinary Design Optimization

    We present two capacity choice scenarios for the socially optimal location of facilities with fixed servers, stochastic demand and congestion. Walk-in health clinics, motor vehicle inspection stations, automobile emissions testing stations, and internal service systems are motivating examples of such facilities. The choice of locations for such facilities influences not only distances for users traveling … Read more