Results 11 to 20 of about 9,205,712 (248)
Vector optimization problems and approximated vector optimization problems [PDF]
Journal of Numerical Analysis and Approximation Theory, 2010 In this paper, a so-called approximated vector optimization problem associated to a vector optimization problem is considered. The equivalence between the efficient solutions of the approximated vector optimization problem and efficient solutions of the ...
Eugenia Duca, Dorel I. Duca
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On the existence of efficient solutions to vector optimization problem of traffic flow on network
Vìsnik Dnìpropetrovsʹkogo Unìversitetu: Serìâ Modelûvannâ, 2009 We studied traffic flow models in vector-valued optimization statement where the flow is controlled at the nodes of network. We considered the case when an objective mapping possesses a weakened property of upper semicontinuity and made no assumptions on
T. A. Bozhanova
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Fully Piecewise Linear Vector Optimization Problems
Journal of Optimization Theory and Applications, 2021 We distinguish two kinds of piecewise linear functions and provide an interesting representation for a piecewise linear function between two normed spaces. Based on such a representation, we study a fully piecewise linear vector optimization (PLP) with the objective and constraint functions being piecewise linear.
Xi Yin Zheng, Xiaoqi Yang 0001
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RSVM: Reduced Support Vector Machines [PDF]
, 2001 An algorithm is proposed which generates a nonlinear kernel-based separating surface that requires as little as 1% of a large dataset for its explicit evaluation.
Olvi L. Mangasarian +3 more
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Control Vector Parameterization with Sensitivity Based Refinement Applied to Baking Optimization [PDF]
, 2007 In bakery production product quality attributes as crispness, brownness, crumb and water content are developed by the transformations that occur during baking and which are initiated by heating.
Hadiyanto, M. +13 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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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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-Insensitive Least Squares Support Vector Regression with Sequential Minimal Optimization
Computing Open, 2023 The [Formula: see text]-insensitive-Least Squares Support Vector Regression ([Formula: see text]-LSSVR) optimization problem with [Formula: see text]-insensitive quadratic loss function is a non-smooth, piecewise quadratic complex problem. Therefore, the
Omer Karal
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Discrete Particle Swarm Optimization for the minimum labelling Steiner tree problem [PDF]
, 2008 Particle Swarm Optimization is an evolutionary method inspired by the social behaviour of individuals inside swarms in nature. Solutions of the problem are modelled as members of the swarm which fly in the solution space.
N. Mladenović +12 more
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