Solution of Quadratic Programming with Interval Variables Using a Two-Level Programming Approach [PDF]
Journal of Applied Mathematics, 2018 Quadratic programming with interval variables is developed from quadratic programming with interval coefficients to obtain optimum solution in interval form, both the optimum point and optimum value.
Syaripuddin, Herry Suprajitno, Fatmawati
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A Solution Approach for Solving Fully Fuzzy Quadratic Programming Problems [PDF]
Journal of Applied Research on Industrial Engineering, 2018 Quadratic Programming has been widely applied to solve real-world problems. This paper describes a solution method for solving a special class of fuzzy quadratic programming problems with fuzziness in relations.
Nemat Allah Taghi-Nezhad +1 more
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On Linear and Quadratic Two-Stage Transportation Problem
Кібернетика та комп'ютерні технології, 2020 Introduction. When formulating the classical two-stage transportation problem, it is assumed that the product is transported from suppliers to consumers through intermediate points.
Petro Stetsyuk +2 more
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Least Squares Method for Solving Fuzzy LR Interval Algebraic Linear Systems
Fuzzy Information and Engineering, 2022 We first investigate the solvability conditions of fuzzy LR interval algebraic linear systems with fuzzy LR interval coefficient matrix and fuzzy LR interval hand-right vector.
Mehrnoosh Salari +2 more
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An SQP Algorithm for Structural Topology Optimization Based on Majorization–Minimization Method
Applied Sciences, 2022 When applying the sequential quadratic programming (SQP) algorithm to topology optimization, using the quasi-Newton methods or calculating the Hessian matrix directly will result in a considerable amount of calculation, making it computationally ...
Weilong Liao, Qiliang Zhang, Huanli Meng
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On Solutions of Possibilistic Multi- objective Quadratic Programming Problems [PDF]
International Journal of Supply and Operations Management, 2017 In this paper, a multi- objective quadratic programming (Poss- MOQP) problem with possibilistic variables coefficients matrix in the objective functions is studied.
Hamiden Khalifa
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An Optimal Generation Scheduling Approach Based on Linear Relaxation and Mixed Integer Programming
IEEE Access, 2020 This paper proposes an optimal generation scheduling approach based on linear relaxation and mixed integer programming, which is used to solve the generation dispatch problem.
Yunkai Lei +5 more
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A Lifting-Penalty Method for Quadratic Programming with a Quadratic Matrix Inequality Constraint
Mathematics, 2020 In this paper, a lifting-penalty method for solving the quadratic programming with a quadratic matrix inequality constraint is proposed. Additional variables are introduced to represent the quadratic terms.
Wei Liu, Li Yang, Bo Yu
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Optimality Conditions for Fuzzy Number Quadratic Programming with Fuzzy Coefficients
Journal of Applied Mathematics, 2014 The purpose of the present paper is to investigate optimality conditions and duality theory in fuzzy number quadratic programming (FNQP) in which the objective function is fuzzy quadratic function with fuzzy number coefficients and the constraint set is ...
Xue-Gang Zhou +2 more
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Extension of Wolfe Method for Solving Quadratic Programming with Interval Coefficients
Journal of Applied Mathematics, 2017 Quadratic programming with interval coefficients developed to overcome cases in classic quadratic programming where the coefficient value is unknown and must be estimated. This paper discusses the extension of Wolfe method.
Syaripuddin, Herry Suprajitno, Fatmawati
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