Pareto front approximation through a multi-objective augmented Lagrangian method
EURO Journal on Computational Optimization, 2021 In this manuscript, we consider smooth multi-objective optimization problems with convex constraints. We propose an extension of a multi-objective augmented Lagrangian Method from recent literature.
Guido Cocchi +2 more
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Combining the cross-entropy algorithm and ∈-constraint method for multiobjective optimization
Moroccan Journal of Pure and Applied Analysis, 2021 This paper aims to propose a new hybrid approach for solving multiobjective optimization problems. This approach is based on a combination of global and local search procedures.
Ezzine Abdelmajid +2 more
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Solving polyhedral d.c. optimization problems via concave minimization [PDF]
, 2020 The problem of minimizing the difference of two convex functions is called polyhedral d.c. optimization problem if at least one of the two component functions is polyhedral.
Dahl, Simeon vom, Löhne, Andreas
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AIMS Mathematics, 2023 Yemen has suffered from a civil war since 2015, which caused the largest famine in the world at this time. People came in need of urgent humanitarian relief in all sectors.
Ibrahim M. Hezam
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Intelligent Systems with Applications, 2022 We propose new mathematical models of inventory management in a reverse logistics system. The proposed models extend the model introduced by Nahmias and Rivera with the assumption that the demand for newly produced and repaired (remanufacturing) items ...
M. Forkan, M.M. Rizvi, M.A.M. Chowdhury
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Second-Order Karush-Kuhn-Tucker Optimality Conditions for Vector Problems with Continuously Differentiable Data and Second-Order Constraint Qualifications [PDF]
, 2014 Some necessary and sufficient optimality conditions for inequality constrained problems with continuously differentiable data were obtained in the papers [I. Ginchev and V.I. Ivanov, Second-order optimality conditions for problems with C$\sp{1}$ data, J.
Ivanov, Vsevolod I.
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An Inequality Approach to Approximate Solutions of Set Optimization Problems in Real Linear Spaces [PDF]
, 2020 This paper explores new notions of approximate minimality in set optimization using a set approach. We propose characterizations of several approximate minimal elements of families of sets in real linear spaces by means of general functionals, which can ...
Köbis, Elisabeth +2 more
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A fuzzy multi-objective linear programming with interval-typed triangular fuzzy numbers
Open Mathematics, 2019 A multi-objective linear programming problem (ITF-MOLP) is presented in this paper, in which coefficients of both the objective functions and constraints are interval-typed triangular fuzzy numbers. An algorithm of the ITF-MOLP is provided by introducing
Li Chunquan
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Characterizations of the Solution Sets of Generalized Convex Fuzzy Optimization Problem
Open Mathematics, 2019 This paper provides some new characterizations of the solution sets for non-differentiable generalized convex fuzzy optimization problem. Firstly, we introduce some new generalized convex fuzzy functions and discuss the relationships among them. Secondly,
Chen Wang, Zhou Zhiang
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Proper efficiency and duality for a new class of nonconvex multitime multiobjective variational problems [PDF]
, 2014 In this paper, a new class of generalized of nonconvex multitime multiobjective variational problems is considered. We prove the sufficient optimality conditions for efficiency and proper efficiency in the considered multitime multiobjective variational ...
Antczak, Tadeusz, Pitea, Ariana
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