Results 11 to 20 of about 114,505 (261)
Topological aspects in vector optimization problems
Vìsnik Dnìpropetrovsʹkogo Unìversitetu: Serìâ Modelûvannâ, 2009 In this paper, we study vector optimization problems in partially ordered Banach spaces. We suppose that an objective mapping possesses a weakened property of lower semicontinuity and make no assumptions on the interior of the ordering cone.
P. I. Kogut, R. Manzo, I. V. Nechay
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On Nondifferentiable and Nonconvex Vector Optimization Problems [PDF]
Journal of Optimization Theory and Applications, 2000 In the past, vector variational inequalities and their generalizations have been used as a tool to solve vector optimization problems. The authors prove equivalence among Minty vector variational-like inequality, Stampacchia vector variational inequality, both for subdifferentiable functions and nondifferentiable nonconvex vector optimization problems.
Ansari, Q. H., Yao, J. C.
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Existence of Solutions for Nonconvex and Nonsmooth Vector Optimization Problems
Journal of Inequalities and Applications, 2008 We consider the weakly efficient solution for a class of nonconvex and nonsmooth vector optimization problems in Banach spaces. We show the equivalence between the nonconvex and nonsmooth vector optimization problem and the vector variational-like ...
Nan-Jing Huang +2 more
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A New Gap Function for Vector Variational Inequalities with an Application
Journal of Applied Mathematics, 2013 We consider a vector variational inequality in a finite-dimensional space. A new gap function is proposed, and an equivalent optimization problem for the vector variational inequality is also provided.
Hui-qiang Ma +3 more
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Robustness Beamforming Algorithms [PDF]
Journal of Intelligent Procedures in Electrical Technology, 2014 Adaptive beamforming methods are known to degrade in the presence of steering vector and covariance matrix uncertinity. In this paper, a new approach is presented to robust adaptive minimum variance distortionless response beamforming make robust against
Sajad Dehghani, Naser Parhizgar
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Artificial Neural Networks Multicriteria Training Based on Graphics Processors
Engineering Proceedings, 2023 The report considers the task of training a multilayer perceptron, formulated as a problem of multiobjective optimization under uncertainty. To solve this problem, the principle of vector minimax was used.
Vladimir A. Serov +5 more
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On a class of vector optimization problems with a variational approach
Atti della Accademia Peloritana dei Pericolanti : Classe di Scienze Fisiche, Matematiche e Naturali, 2014 A class of vector optimization problems is considered. In particular, we reformulate this problem by means of a suitable vector variational inequality, involving the normal cone operator to the adjusted sublevel sets.
Maria B. Donato +2 more
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Upper Hölder continuity of parametric vector optimization problems
Journal of Inequalities and Applications, 2016 This paper is concerned with upper Hölder continuity and Hölder calmness of a perturbed vector optimization problem. We establish some new sufficient conditions for upper Hölder continuity and Hölder calmness of the perturbed solution mappings and the ...
Xian-Fu Hu, Xiao-Wei Xue
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Energy‐efficiency hybrid beamforming architecture design for MIMO network
Electronics Letters, 2022 This letter investigates the hybrid beamforming architecture design for MIMO network, where the connection between each antenna and each radio frequency chain is controlled by a switch. The optimization of the switch‐controlled connection state vector is
Kuo Cao, Jiao Zhang, Jun Xiong
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A Hybrid Search Model for Constrained Optimization
Discrete Dynamics in Nature and Society, 2022 This paper proposes a hybrid model based on decomposition for constrained optimization problems. Firstly, a constrained optimization problem is transformed into a biobjective optimization problem.
Xiaoli Gao +3 more
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