Results 31 to 40 of about 5,158 (244)
A Risk-Aversion Approach for the Multiobjective Stochastic Programming Problem [PDF]
, 2020 Multiobjective stochastic programming is a field that is well suited to tackling problems that arise in many fields: energy, financial, emergencies, among others; given that uncertainty and multiple objectives are usually present in such problems.
Vitoriano, Begoña +8 more
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Advancing equitability in multiobjective programming
Computers & Mathematics with Applications, 2006 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Davaatseren Baatar, Margaret M. Wiecek
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Homotopy Interior-Point Method for a General Multiobjective Programming Problem
Journal of Applied Mathematics, 2012 We present a combined homotopy interior-point method for a general multiobjective programming problem. For solving the KKT points of the multiobjective programming problem, the homotopy equation is constructed. We prove the existence and convergence of a
X. Zhao, S. G. Zhang, Q. H. Liu
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A neural network approach to multiobjective and multilevel programming problems [PDF]
, 2009 This study aims at utilizing the dynamic behavior of artificial neural networks (ANNs) to solve multiobjective programming (MOP) and multilevel programming (MLP) problems.
時序時; Shih, Hsu-shih; Wen, Ue-pyng; Lee, S.; Lan, Kuen-ming; Hsiao, Han-chyi
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Journal of Inequalities and Applications, 2019 A new class of (not necessarily differentiable) multiobjective fractional programming problems with E-differentiable functions is considered. The so-called parametric E-Karush–Kuhn–Tucker necessary optimality conditions and, under E-convexity hypotheses,
Tadeusz Antczak, Najeeb Abdulaleem
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An Adaptive Method to Solve Multilevel Multiobjective Linear Programming Problems [PDF]
Operations Research and Decisions, 2023 This paper is a follow-up to a previous work where we defined and generated the set of all possible compromises of multilevel multiobjective linear programming problems (ML-MOLPP).
Mustapha Kaci, Sonia Radjef
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Multiobjective De Novo Linear Programming [PDF]
, 2011 summary:Mathematical programming under multiple objectives has emerged as a powerful tool to assist in the process of searching for decisions which best satisfy a multitude of conflicting objectives.
Fiala, Petr
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Levitin-Polyak well-posedness for generalized semi-infinite multiobjective programming problems
Journal of Inequalities and Applications, 2016 In this paper, we introduce a notion of Levitin-Polyak well-posedness for generalized semi-infinite multiobjective programming problems in terms of weakly efficient solutions.
Xian-Jun Long +2 more
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On utilizing infeasibility in multiobjective evolutionary algorithms [PDF]
, 2009 In this article, we consider the problem of infeasible solutions (i.e. solutions which violate one or several restrictions of an optimization problem) which can hardly be avoided when new solutions are generated by stochastic and other means during the ...
Hanne, Thomas
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Duality of (h,φ)-Multiobjective Programming Involving Generalized Invex Functions
Journal of Applied Mathematics, 2012 In the setting of Ben-Tal's generalized algebraic operations, this paper deals with Mond-Weir type dual theorems of multiobjective programming problems involving generalized invex functions.
GuoLin Yu
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