Results 201 to 210 of about 9,205,712 (248)
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Vector optimization problems with nonconvex preferences

Journal of Global Optimization, 2007
This paper studies vector optimization problems where the order is defined by a cone, which is not necessarily convex. First, the authors study six types of variational inequalities. For example, let \(X\) and \(Y\) be two Banach spaces ordered by cones \(C\subset X\) and \(P\subset Y\), respectively. The cone \(C\) is convex, whereas \(P\) is not. Let
Nan-Jing Huang   +2 more
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On general vector quasi-optimization problems

Mathematical Methods of Operations Research, 2002
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Angelo Guerraggio, Nguyen Xuan Tan
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Vector optimization problem and generalized convexity

Journal of Global Optimization, 2011
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
M. Oveisiha, Jafar Zafarani
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Query optimization for vector space problems

Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval, 2001
We present performance measurement results for a parallel SQL based information retrieval system implemented on a PC cluster system. We used the Web-TREC dataset under a left-deep query execution plan. We achieved satisfactory speed up.
Kazuo Goda   +4 more
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On the Existence of Solutions to Vector Optimization Problems

2006
The existence of solutions to a Vector Optimization Problem is carried out by means of the image space analysis. Classic existence results are revisited and presented under suitable compactness assumptions on the image of the Vector Optimization Problem.
MASTROENI, GIANDOMENICO   +1 more
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Optimality Conditions for Quasi-Solutions of Vector Optimization Problems

Journal of Optimization Theory and Applications, 2013
In this paper, the authors deal with quasi-solutions of constrained vector optimization problems. These solutions are a kind of approximate minimal solutions and they are motivated by the Ekeland variational principle. They introduce several notions of quasi-minimality based on free disposal sets and characterize these solutions through scalarization ...
César Gutiérrez   +2 more
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Reducing a Multi Stage Vector Optimization Problem to a Single Stage Vector Optimization Problem

OPSEARCH, 2000
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A Subgradient Method for Vector Optimization Problems

SIAM Journal on Optimization, 2013
Vector optimization problems are a significant extension of scalar optimization and have many real life applications. We consider an extension of the projected subgradient method to convex vector optimization, which works directly with vector-valued functions, without using scalar-valued objectives.
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Vector Optimization Problems via Improvement Sets

Journal of Optimization Theory and Applications, 2011
The authors introduce the concept of improvement sets and optimal points with respect to the preference relation given by an improvement set (a nonempty set \(E\) in \(\mathbb R^n\) is called an improvement set if it does not contain the origin and has a free disposal property: \(E+\mathbb R^n_+ \subseteq E\); and a point \(a\) of a nonempty set \(A ...
CHICCO, MAURIZIO   +3 more
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Some Remarks On Vector Optimization Problems

Journal of Optimization Theory and Applications, 1998
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