A sequential quadratic programming based strategy for particle swarm optimization on single-objective numerical optimization [PDF]
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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A Sequential Quadratic Programming Approach for the Predictive Control of the COVID-19 Spread. [PDF]
IFAC Pap OnLine, 2021 Morato MM, Dos Reis GNG, Normey-Rico JE.
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Research on Performance Seeking Control of Turbofan Engine at Cruise Status Based on Sequential Quadratic Programming Algorithm [PDF]
MATEC Web of Conferences, 2018 The sequential quadratic programming algorithm was applied to the performance seeking control of multi-variable turbofan engine. According to the actual condition of aircraft cruise status, the constant thrust condition is added in the constraint ...
Shufan Zhao +4 more
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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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Cartesian Stiffness Shaping of Compliant Robots—Incremental Learning and Optimization Based on Sequential Quadratic Programming [PDF]
ActuatorsEmerging robotic systems with compliant characteristics, incorporating nonrigid links and/or elastic actuators, are opening new applications with advanced safety features, as well as improved performance and energy efficiency in contact tasks.
Nikola Knežević +2 more
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Large-scale sequential quadratic programming algorithms [PDF]
, 1992 The problem addressed is the general nonlinear programming problem: finding a local minimizer for a nonlinear function subject to a mixture of nonlinear equality and inequality constraints. The methods studied are in the class of sequential quadratic programming (SQP) algorithms, which have previously proved successful for problems of moderate size ...
S.K. Eldersveld
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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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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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