Well-posedness in vector optimization and scalarization results [PDF]
In this paper, we give a survey on well-posedness notions of Tykhonov's type for vector optimization problems and the links between them with respect to the classification proposed by Miglierina, Molho and Rocca in [33].
Rocca Matteo, Papalia Melania
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A computational analysis of optimization models for Support Vector Machines [PDF]
, 2012 Il presente lavoro di tesi consiste in un'analisi computazionale, condotta previa la necessaria implementazione software, del comportamento matematico del modello di ottimizzazione utilizzato dall'approccio delle Support Vector Machines. Tale valutazione
Petterle, Lucia
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An incremental shifting vector approach for reliability-based design optimization [PDF]
, 2016 © 2015, Springer-Verlag Berlin Heidelberg. This paper proposes a decoupling algorithm for reliability-based design optimization (RBDO) with high performance in terms of efficiency and convergence, which provides an effective tool for reliability design ...
Zhou, YS +4 more
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Necessary and Sufficient Conditions for Robust Minimal Solutions in Uncertain Vector Optimization [PDF]
, 2020 Mathematics Subject Classification: 49J52, 49J53, 49N30, 90C31.We introduce a new notion of a vector-based robust minimal solution for a vector-valued uncertain optimization problem, which is defined by means of some open cone.
Studniarski, Marcin +2 more
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Two approaches toward constrained vector optimization and identity of the solutions [PDF]
In this paper we deal with a Fritz John type constrained vector optimization problem. In spite that there are many concepts of solutions for an unconstrained vector optimization problem, we show the possibility “to double” the number of concepts when a ...
Rocca Matteo +2 more
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MTV-MFO: Multi-Trial Vector-Based Moth-Flame Optimization Algorithm
, 2021 The moth-flame optimization (MFO) algorithm is an effective nature-inspired algorithm based on the chemical effect of light on moths as an animal with bilateral symmetry.
Shokooh Taghian +11 more
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Scalarization and sensitivity analysis in Vector Optimization. The linear case. [PDF]
In this paper we consider a vector optimization problem; we present some scalarization techniques for finding all the vector optimal points of this problem and we discuss the relationships between these methods. Moreover, in the linear case, the study of
Letizia Pellegrini, Elisa Pagani
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First-Order Conditions for C0,1 Constrained vector optimization [PDF]
For a Fritz John type vector optimization problem with C0,1 data we define different type of solutions, give their scalar characterizations applying the so called oriented distance, and give necessary and sufficient first order optimality conditions in ...
Rocca Matteo +2 more
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A new test vector optimization method for failure isolation
Dianzi Jishu Yingyong, 2018 In order to improve the fault diagnosis efficiency and shorten the fault isolation time based on the testability modeling, a test vector optimization method is proposed. Aiming at the exact detection and isolation requirements of each failure mode in the
Jiang Jueyi, Li Fan, Li Jianhong
doaj +1 more source
GENERALIZED VECTOR RISK FUNCTIONS [PDF]
The paper introduces a new notion of vector-valued risk function. Both deviations and expectation bounded coherent risk measures are defined and analyzed.
Pedro Jimenez-Guerra, Alejandro Balbas
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