Results 11 to 20 of about 3,146 (222)
A New Global Optimization Algorithm for Solving a Class of Nonconvex Programming Problems [PDF]
Journal of Applied Mathematics, 2014 A new two-part parametric linearization technique is proposed globally to a class of nonconvex programming problems (NPP). Firstly, a two-part parametric linearization method is adopted to construct the underestimator of objective and constraint ...
Xue-Gang Zhou, Bing-Yuan Cao
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A Decomposition Method with Redistributed Subroutine for Constrained Nonconvex Optimization [PDF]
Abstract and Applied Analysis, 2013 A class of constrained nonsmooth nonconvex optimization problems, that is, piecewise C2 objectives with smooth inequality constraints are discussed in this paper.
Yuan Lu, Wei Wang, Li-Ping Pang, Dan Li
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Strong Convergence on the Aggregate Constraint-Shifting Homotopy Method for Solving General Nonconvex Programming [PDF]
Journal of Mathematics, 2020 In the paper, the aggregate constraint-shifting homotopy method for solving general nonconvex nonlinear programming is considered. The aggregation is only about inequality constraint functions. Without any cone condition for the constraint functions, the
Zhichuan Zhu, Yeong-Cheng Liou
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Pooling problem: Alternate formulations and solution methods [PDF]
, 2004 Copyright @ 2004 INFORMSThe pooling problem, which is fundamental to the petroleum industry, describes a situation in which products possessing different attribute qualities are mixed in a series of pools in such a way that the attribute qualities of the
Brimberg, J +9 more
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Tongxin xuebao, 2020 In order to address the unfair user-centric energy efficiency (EE) problem caused by channel difference in the backscatter-assisted wireless powered communication network,a resource allocation scheme was proposed.Firstly,a mixed integer nonconvex ...
Yinghui YE, Liqin SHI, Guangyue LU
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Dynamic Magnetic Resonance Imaging via Nonconvex Low-Rank Matrix Approximation
IEEE Access, 2017 Reconstruction of highly accelerated dynamic magnetic resonance imaging (MRI) is of crucial importance for the medical diagnosis. The application of general robust principal component analysis (RPCA) to MRI can increase imaging speed and efficiency ...
Fei Xu +6 more
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Energies, 2019 We propose a model for medium-term hydropower scheduling (MTHS) with variable head and uncertainty in inflow, reserve capacity, and energy price. With an increase of intermittent energy sources in the generation mix, it is expected that a flexible ...
Martin N. Hjelmeland +2 more
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Systems Science & Control Engineering, 2020 We propose a new two-level vertex-searching algorithm framework that finds a global optimal solution to the continuous bilevel linear fractional programming problem over a compact polyhedron, in which both the upper and the lower objectives are linear ...
Hui-Ju Chen
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Recent advances in nonconvex semi-infinite programming: Applications and algorithms
EURO Journal on Computational Optimization, 2021 The goal of this literature review is to give an update on the recent developments for semi-infinite programs (SIPs), approximately over the last 20 years. An overview of the different solution approaches and the existing algorithms is given. We focus on
Hatim Djelassi +2 more
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Hydropower Unit Commitment Using a Genetic Algorithm with Dynamic Programming
Energies, 2023 This study presents a genetic algorithm integrated with dynamic programming to address the challenges of the hydropower unit commitment problem, which is a nonlinear, nonconvex, and discrete optimization, involving the hourly scheduling of generators in ...
Shuangquan Liu +6 more
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