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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Sequential quadratic programming models for solving the OPF problem in DC grids
Electric power systems research, 2019 In this paper, we address the optimal power flow problem in dc grids (OPF-DC). Our approach is based on sequential quadratic programming which solves the problem associated with non-convexity of the model.
O. Montoya, W. Gil-González, A. Garcés
semanticscholar +1 more source
Non-convex mixed-integer nonlinear programming : a survey [PDF]
, 2012 A wide range of problems arising in practical applications can be formulated as Mixed-Integer Nonlinear Programs (MINLPs). For the case in which the objective and constraint functions are convex, some quite effective exact and heuristic algorithms are ...
Burer, S, Letchford, Adam
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International Journal of Advanced Robotic Systems, 2018 The quadratic programming problem has broad applications in mobile robot path planning. This article presents an efficient optimization algorithm for globally solving the quadratic programming problem.
Lei Cai, Juanjuan Yang, Li Zhao, Lan Wu
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SOLVING THE DAYS-OFF SCHEDULING PROBLEM USING QUADRATIC PROGRAMMING WITH CIRCULANT MATRIX [PDF]
Journal of Engineering Science (Chişinău), 2022 The purpose of this paper is the approach of a mathematical model dedicated to planning the consecutive days off of a company’s employees. Companies must find a flexible work schedule between employees, always considering the satisfaction of work tasks ...
MORARU, Vasile +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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Combined MPC and Dynamic Neural Network-Based UAVs Trajectory Tracking Control
IEEE Access, 2023 This paper focuses on the trajectory tracking problem of unmanned aerial vehicles (UAVs) under external disturbances, and a trajectory tracking method that combines model predictive control with dynamic neural networks was proposed.
Lei Yang +3 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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An improved constrained dynamic matrix control for temperature in an industrial coke furnace
Measurement + Control, 2019 In order to derive the feasible control law of the constrained model predictive control scheme, quadratic programming has been introduced as an effective method. It is known that the typical performance index for model predictive control strategies under
Hongbo Zou, Limin Wang
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A novel method for solving multi- objective linear fractional programming problem under uncertainty [PDF]
Journal of Fuzzy Extension and Applications, 2022 This paper deals with a multi-objective linear fractional programming problem in fuzzy environment. The problem is considered by introducing all the parameters as piecewise quadratic fuzzy numbers.
Ibrahim Mohamed Mekawy
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