Optimizing heat source distribution in sintering molds: Integrating response surface model with sequential quadratic programming [PDF]
HeliyonThe sintering mold imposes strict requirements for temperature uniformity. The mold geometric parameters and the power configuration of heating elements exert substantial influence.
Sanli Liu +5 more
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Survey of sequential convex programming and generalized Gauss-Newton methods* [PDF]
ESAIM: Proceedings and Surveys, 2021 We provide an overview of a class of iterative convex approximation methods for nonlinear optimization problems with convex-over-nonlinear substructure.
Messerer Florian +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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Constrained Supply Chain Scheduling Model Using Sequential Quadratic Programming Algorithm [PDF]
Journal of Sciences, Islamic Republic of Iran, 2020 Challenges such as advances in technology, demands of the global market, and limited warehouse spaces resort manufacturing industries to subcontracting. Subcontracting has been a considerable alternative in the manufacturing industries and is utilized as
Derick Erl Sumalapao +2 more
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Complex & Intelligent Systems, 2023 Over the last decade, particle swarm optimization has become increasingly sophisticated because well-balanced exploration and exploitation mechanisms have been proposed. The sequential quadratic programming method, which is widely used for real-parameter
Libin Hong +4 more
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Field Production Optimization Using Sequential Quadratic Programming (SQP) Algorithm in ESP-Implemented Wells, A Comparison Approach [PDF]
Journal of Petroleum Science and Technology, 2020 Oil production enhancement has been a major area of study in recent decades. This term includes several types of technics. One of the production enhancement technics is using electrical submersible pumps (ESPs) to increase the rate of production from ...
Amin Noorbakhsh, Ehsan Khamehchi
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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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