Quadratic Programming
Mostrando 1-12 de 70 artigos, teses e dissertações.
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1. Optimization of geometrically nonlinear truss structures under dynamic loading
Abstract The goal of this article is to present the formulation of the optimization problem of truss structures with geometric nonlinearity under dynamic loads and provide examples of this problem. The formulated optimization problem aims to determine the cross-sectional area of the bars that minimizes the weight of the structure, imposing constraints on nod
REM, Int. Eng. J.. Publicado em: 2020-09
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2. Optimization of shells modeled using NURBS subjected to a dynamic loading condition
Abstract This study presents an optimization method for the thickness of shell elements subjected to dynamic loads. Structural analyses were carried out using the finite element method. The analyzed domains were modeled using NURBS, and meshes were generated using a transformation of the parametric domain into the geometric domain via a geometric function. T
REM, Int. Eng. J.. Publicado em: 2020-03
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3. Shape change analysis of tensegrity models
Abstract This paper presents a computational strategy for shape change of tensegrity models to achieve the prescribed target coordinates of a set of monitored nodes via forced elongation of cables. Mathematical formulation for incremental equilibrium equations of a tensegrity model during the shape change analysis is derived and presented. An optimization ap
Lat. Am. j. solids struct.. Publicado em: 15/08/2019
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4. An Improved Dynamic Contact Model for Mass–Spring and Finite Element Systems Based on Parametric Quadratic Programming Method
Abstract An improved dynamic contact model for mass-spring and finite element systems is proposed in this paper. The proposed model avoids the numerical troubles of spurious high-frequency oscillations for mass-spring and finite element systems in dynamic contact problems by using the parametric quadratic programming technique. The iterative process for det
Lat. Am. j. solids struct.. Publicado em: 26/04/2018
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5. A COMPARATIVE STUDY OF STOCHASTIC QUADRATIC PROGRAMMING AND OPTIMAL CONTROL MODEL IN PRODUCTION-INVENTORY SYSTEM WITH STOCHASTIC DEMAND
ABSTRACT This study compares the optimal control model and stochastic quadratic programming (SQP) model of a production-inventory system. A single product, without shortage in the case of a periodic-review policy with stochastic demand and deterioration rate as a function of time, is discussed. The items are subjected to deterioration via storage and the inv
Pesqui. Oper.. Publicado em: 2017-01
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6. Identifying Mechanical Properties of Viscoelastic Materials in Time Domain Using the Fractional Zener Model
Abstract The present paper aims at presenting a methodology for characterizing viscoelastic materials in time domain, taking into account the fractional Zener constitutive model and the influence of temperature through Williams, Landel, and Ferry’s model. To that effect, a set of points obtained experimentally through uniaxial tensile tests with different
Lat. Am. j. solids struct.. Publicado em: 2017-01
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7. STABILIZED SEQUENTIAL QUADRATIC PROGRAMMING: A SURVEY
We review the motivation for, the current state-of-the-art in convergence results, and some open questions concerning the stabilized version of the sequential quadratic programming algorithm for constrained optimization. We also discuss the tools required for its local convergence analysis, globalization challenges, and extentions of the method to the more g
Pesqui. Oper.. Publicado em: 2014-12
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8. OPTIMIZATION WITH LINEAR COMPLEMENTARITY CONSTRAINTS
A Mathematical Program with Linear Complementarity Constraints (MPLCC) is an optimization problem where a continuously differentiable function is minimized on a set defined by linear constraints and complementarity conditions on pairs of complementary variables. This problem finds many applications in several areas of science, engineering and economics and i
Pesqui. Oper.. Publicado em: 2014-12
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9. A single loop reliability-based design optimization using EPM and MPP-based PSO
A reliability-based design optimization (RBDO) incorporates a probabilistic analysis with an optimization technique to find a best design within a reliable design space. However, the computational cost of an RBDO task is often expensive compared to a deterministic optimization, which is mainly due to the reliability analysis performed inside the optimization
Lat. Am. j. solids struct.. Publicado em: 2014-10
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10. A Mixed-Integer convex formulation for production optimization of gas-lifted oil fields with routing and pressure constraints
Production optimization of gas-lifted oil fields under facility, routing, and pressure constraints has attracted the attention of researchers and practitioners for its scientific challenges and economic impact. The available methods fall into one of two categories: nonlinear or piecewise-linear approaches. The nonlinear methods optimize simulation models dir
Braz. J. Chem. Eng.. Publicado em: 2014-06
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11. An efficient hybrid heuristic method for the 0-1 exact k-item quadratic knapsack problem
The 0-1 exact k-item quadratic knapsack problem (E - kQKP) consists of maximizing a quadratic function subject to two linear constraints: the first one is the classical linear capacity constraint; the second one is an equality cardinality constraint on the number of items in the knapsack. Most instances of this NP-hard problem with more than forty variables
Pesqui. Oper.. Publicado em: 2014-04
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12. Estimação e previsão da estrutura a termo das taxas de juros usando técnicas de inteligência computacional / Term structure of interest rate modeling and forecasting using computational intelligence techniques
This work proposes the term structure of interest rates modeling and forecasting using computational intelligence techniques, based on data from the US and Brazilian fixed income markets. The yield curve modeling includes the use of some evolutionary computation methods like Genetic Algorithms, Differential Evolution and Evolution Strategies in comparison wi
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 25/06/2012