Sequential Quadratic Programming
Mostrando 1-12 de 25 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. 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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5. 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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6. 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
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7. A sensitivity result for quadratic semidefinite programs with an application to a sequential quadratic semidefinite programming algorithm
In this short note a sensitivity result for quadratic semidefinite programming is presented under a weak form of second order sufficient condition. Based on this result, also the local convergence of a sequential quadratic semidefinite programming algorithm extends to this weak second order sufficient condition. Mathematical subject classification: 90C22, 90
Computational & Applied Mathematics. Publicado em: 2012
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8. Otimização térmica e econômica de bomba de calor para aquecimento de água, utilizando programação quadrática sequencial e simulação através do método de substituição Newton Raphson / Thermal and economic optimization of heat pump for heating water, using sequential quadratic programming and simulation by substitution Newton Raphson method
O trabalho apresenta metodologias computacionais de otimização e simulação para o desenvolvimento do projeto de um sistema de bomba de calor para aquecimento de água em prédios residenciais, especialmente para uso em banho na região de Campinas. O sistema bomba de calor foi simulado focando o estudo nos trocadores de calor (evaporador e condensador).
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 15/12/2011
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9. Otimização de forma de cascas axissimétricas utilizando diferenciação automática / Shape optimization of axisymmetric shells using automatic differentiation
Cascas constituem um tipo de estrutura que possui uma vasta quantidade de aplicações, incluindo, por exemplo, fuselagens de aviões e submarinos, silos metálicos, coberturas de hangares, estruturas de prédios e componentes automotivos e aeroespaciais. Os grandes vãos possíveis de serem cobertos, baixo peso e alta rigidez são algumas das vantagens obti
Publicado em: 2011
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10. A filter algorithm for nonlinear semidefinite programming
This paper proposes a filter method for solving nonlinear semidefinite programming problems. Our method extends to this setting the filter SQP (sequential quadratic programming) algorithm, recently introduced for solving nonlinear programming problems, obtaining the respective global convergence results. Mathematical subject classification: 90C30, 90C55.
Computational & Applied Mathematics. Publicado em: 2010-06
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11. Sequential quadratic programming and constraint qualification / Programação quadratica sequencial e condições de qualificação
In the context of constrained optimization problems, we face the optimality conditions and also constraint qualification. Our aim is to study with details several constraint qualification, highlighting the constant positive linear dependence condition, and its influence in Sequential Quadratic Programming algorithms convergence. The relevance of this study i
Publicado em: 2009
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12. A filter SQP algorithm without a feasibility restoration phase
In this paper we present a filter sequential quadratic programming (SQP) algorithm for solving constrained optimization problems. This algorithm is based on the modified quadratic programming (QP) subproblem proposed by Burke and Han, and it can avoid the infeasibility of the QP subproblem at each iteration. Compared with other filter SQP algorithms, our alg
Computational & Applied Mathematics. Publicado em: 2009