A Convergent Approximation of the Pareto Optimal Set for Finite Horizon Multiobjective Optimal Control Problems (MOC) Using Viability Theory [PDF]
, 2012 The objective of this paper is to provide a convergent numerical approximation of the Pareto optimal set for finite-horizon multiobjective optimal control problems for which the objective space is not necessarily convex.
Guigue, A.
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Robust Necessary Optimality Conditions for Nondifferentiable Complex Fractional Programming with Uncertain Data. [PDF]
J Optim Theory Appl, 2021 Chen J +4 more
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Modelizacion de un DSS para la gestión de productos perecederos [PDF]
, 2001 La gestión de inventarios de productos perecederos ha atraído desde hace tiempo la atención de los investigadores de Dirección de Operaciones. En este artículo se presenta la modelización e implementación de un sistema de apoyo a la toma de decisiones ...
Brío González, Jesús Ángel del +2 more
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Simulation Research on the Relationship between Selected Inconsistency Indices Used in AHP. [PDF]
Entropy (Basel), 2023 Starczewski T.
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Geometric Duality for Convex Vector Optimization Problems [PDF]
, 2011 Geometric duality theory for multiple objective linear programming problems turned out to be very useful for the development of efficient algorithms to generate or approximate the whole set of nondominated points in the outcome space.
Heyde, Frank
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The tolerance approach in multiobjective linear fractional programming [PDF]
, 1997 When solving a multiobjective programming problem by the weighted sum ap- proach, weights represent the relative importance associated to the objectives.
Arévalo Quijada, María Teresa +2 more
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Symmetric strong vector quasiequilibrium problems in Hausdorff locally convex spaces
Journal of Inequalities and Applications, 2011 In this article, a new symmetric strong vector quasiequilibrium problem in real locally convex Hausdorff topological vector spaces is introduced and studied.
Cho Yeol, Chen Bin, Huang Nan-jing
doaj
First order optimality condition for constrained set-valued optimization [PDF]
A constrained optimization problem with set-valued data is considered. Different kind of solutions are defined for such a problem. We recall weak minimizer, efficient minimizer and proper minimizer.
Crespi Giovanni P. +2 more
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Higher-order conditions for strict efficiency revisited [PDF]
D. V. Luu and P. T. Kien propose in Soochow J. Math. 33 (2007), 17-31, higher- order conditions for strict efficiency of vector optimization problems based on the derivatives introduced by I. Ginchev in Optimization 51 (2002), 47-72.
Ivan Ginchev
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Second-Order Optimality Conditions in Locally Lipschitz Inequality-Constrained Multiobjective Optimization. [PDF]
J Optim Theory Appl, 2020 Constantin E.
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