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Toplam kayıt 13, listelenen: 1-10
Hartley properly and super nondominated solutions in vector optimization with a variable ordering structure
(Springer, 2018)
In this paper, we introduce Hartley properly and super nondominated solutions in vector optimization with a variable ordering structure. We prove the connections between Benson properly nondominated, Hartley properly ...
Properly optimal elements in vector optimization with variable ordering structures
(Springer, 2014)
In this paper, proper optimality concepts in vector optimization with variable ordering structures are introduced for the first time and characterization results via scalarizations are given. New type of scalarizing ...
A generalization of a theorem of Arrow, Barankin and Blackwell to a nonconvex case
(Taylor & Francis LTD, 2016)
The paper presents a generalization of a known density theorem of Arrow, Barankin, and Blackwell for properly efficient points defined as support points of sets with respect to monotonically increasing sublinear functions. ...
Piecewise linear classifiers based on nonsmooth optimization approaches
(Springer New York, 2014)
[No abstract available]
New mathematical models for team formation of sports clubs before the match
(Springer, 2019)
Coaches of sports clubs aim to form the team that optimally determines the roles of positions before the match. These types of decisions are referred to as the team formation problem, and they are critical for the sports ...
An incremental piecewise linear classifier based on polyhedral conic separation
(Springer, 2015)
In this paper, a piecewise linear classifier based on polyhedral conic separation is developed. This classifier builds nonlinear boundaries between classes using polyhedral conic functions. Since the number of polyhedral ...
A sharp augmented Lagrangian-based method in constrained non-convex optimization
(Taylor & Francis LTD, 2019)
In this paper, a novel sharp Augmented Lagrangian-based global optimization method is developed for solving constrained non-convex optimization problems. The algorithm consists of outer and inner loops. At each inner ...
Comparison of Some Scalarization Methods in Multiobjective Optimization: Comparison of Scalarization Methods
(Malaysian Mathematical Sciences Soc, 2019)
The paper presents an analysis, characterizations and comparison of six commonly used scalarization methods in multiobjective optimization. The properties of these methods are investigated with respect to the basic ...
A novel piecewise linear classifier based on polyhedral conic and max-min separabilities
(Springer, 2013)
In this paper, an algorithm for finding piecewise linear boundaries between pattern classes is developed. This algorithm consists of two main stages. In the first stage, a polyhedral conic set is used to identify data ...