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 new approach to secure economic power dispatch [PDF]
, 1998 This article presents a new nonlinear convex network flow programming model and algorithm for solving the on-line economic power dispatch with N and N−1 security.
Irving, MR, Xu, GY, Zhu, JZ
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The parallel approximability of a subclass of quadratic programming [PDF]
, 1997 In this paper we deal with the parallel approximability of a special class of Quadratic Programming (QP), called Smooth Positive Quadratic Programming. This subclass of QP is obtained by imposing restrictions on the coefficients of the QP instance.
Serna Iglesias, María José +1 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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A Solution Approach for Solving Fully Fuzzy Quadratic Programming Problems
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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Consensus-ADMM for General Quadratically Constrained Quadratic Programming [PDF]
IEEE Transactions on Signal Processing, 2016 Nonconvex quadratically constrained quadratic programming (QCQP) problems have numerous applications in signal processing, machine learning, and wireless communications, albeit the general QCQP is NP-hard, and several interesting special cases are NP ...
Kejun Huang, N. Sidiropoulos
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Solution of Quadratic Programming with Interval Variables Using a Two-Level Programming Approach
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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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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