Results 11 to 20 of about 4,477 (306)
STABILIZED SEQUENTIAL QUADRATIC PROGRAMMING: A SURVEY [PDF]
Pesquisa Operacional, 2014 Fil: Fernandez Ferreyra, Damian Roberto. Universidad Nacional de Cordoba. Facultad de Matematica, Astronomia y Fisica; Argentina. Consejo Nacional de Investigaciones Cientificas y Tecnicas. Centro Cientifico Tecnologico Conicet - Cordoba. Centro de Investigacion y Estudios de Matematica. Universidad Nacional de Cordoba.
Fernández, Damián, Solodov, Mikhail
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An ADMM-based SQP method for separably smooth nonconvex optimization
Journal of Inequalities and Applications, 2020 This work is about a splitting approach for solving separably smooth nonconvex linearly constrained optimization problems. Based on the ideas from two classical methods, namely the sequential quadratic programming (SQP) and the alternating direction ...
Meixing Liu, Jinbao Jian
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An Improved Sequential Quadratic Programming Method Based on Positive Constraint Sets
Chemical Engineering Transactions, 2020 SQP (sequential quadratic programming) is an effective method to solve nonlinear constraint problems, widely used in chemical process simulation optimization.
Li Xia +5 more
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A superlinearly convergent SSDP algorithm for nonlinear semidefinite programming
Journal of Inequalities and Applications, 2019 In this paper, we present a sequential semidefinite programming (SSDP) algorithm for nonlinear semidefinite programming. At each iteration, a linear semidefinite programming subproblem and a modified quadratic semidefinite programming subproblem are ...
Jian Ling Li, Hui Zhang
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Multi-Population Based Ensemble Mutation Method for Single Objective Bilevel Optimization Problem
IEEE Access, 2016 Differential evolution algorithm is an effective and population-based global optimization algorithm, which has been successfully used in many different fields.
Xiangtao Li, Shijing Ma, Yunhe Wang
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Using "Filter" Approach to Solve the Constrained Optimization Problems [PDF]
Al-Rafidain Journal of Computer Sciences and Mathematics, 2010 In this paper, the solution of constrained nonlinear programming problems by a Sequential Quadratic Programming (SQP) is considered. The aim of the present work is to promote global convergence without the need to use a penalty and Barrier functions in ...
Ban Mitras
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Economic Dispatch of Micro-grid Based on Sequential Quadratic Programming—Model and Formulation [PDF]
E3S Web of Conferences, 2019 This paper proposes an economic dispatch strategy for micro-grid based on the sequential quadratic programming (SQP) method. In this paper, in the off-grid operating state, according to the load, the kinds of micro sources and the operating cost, the ...
Xu Bo +6 more
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A Simple SQP Algorithm for Constrained Finite Minimax Problems
The Scientific World Journal, 2014 A simple sequential quadratic programming method is proposed to solve the constrained minimax problem. At each iteration, through introducing an auxiliary variable, the descent direction is given by solving only one quadratic programming.
Lirong Wang, Zhijun Luo
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Applied Sciences, 2023 Most of the published literature regarding bearing capacity are often focused on linear and associative soils. Concerning the intrinsic strength nonlinearity in dilatancy soils, this study investigates the problem of the seismic bearing capacity in the ...
Hong Liao, De Zhou
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Engineering Science and Technology, an International Journal, 2020 This paper proposes a convex approximation approach for solving the optimal power flow (OPF) problem in direct current (DC) networks with constant power loads by using a sequential quadratic programming approach.
Oscar Danilo Montoya
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