Search Results - Sequential least squares programming algorithm*

Improved Sequential Least Squares Programming–Driven Feasible Path Algorithm for Process Optimisation

Authors: Ma, Yingjie Zhang, Nan Li, Jie et al.

Contributors: Ma, Yingjie Zhang, Nan Li, Jie et al.

Source: Ma, Y, Zhang, N & Li, J 2022, Improved Sequential Least Squares Programming–Driven Feasible Path Algorithm for Process Optimisation. in L Montastruc & S Negny (eds), Computer Aided Chemical Engineering. Elsevier BV.

Access URL: https://research.manchester.ac.uk/en/publications/d304bc26-0b95-44bb-8f08-2f63ecf3d0b2

Optimal Design of Extractive Dividing-Wall Column Using an Improved Sequential Least Squares Programming Algorithm

Authors: Ma, Yingjie Zhang, Nan Li, Jie

Source: Ma, Y, Zhang, N & Li, J 2022, Optimal Design of Extractive Dividing-Wall Column Using an Improved Sequential Least Squares Programming Algorithm. in Computer Aided Chemical Engineering. Elsevier BV.

Access URL: https://research.manchester.ac.uk/en/publications/3f2a7af2-7469-472f-afc7-6d1e6684d758

Improved Sequential Least Squares Programming–Driven Feasible Path Algorithm for Process Optimisation

Source: Computer Aided Chemical Engineering ISBN: 9780323958790

Optimal Design of Extractive Dividing-Wall Column Using an Improved Sequential Least Squares Programming Algorithm

Source: Computer Aided Chemical Engineering ISBN: 9780323851596

End-effector Cartesian stiffness shaping - sequential least squares programming approach

Authors: Nikola Knezevic Branko Lukic Kosta Jovanovic et al.

Source: Serbian Journal of Electrical Engineering, Vol 18, Iss 1, Pp 1-14 (2021)

Subject Terms: cartesian stiffness control, sequential last squares programming, Electrical engineering. Electronics. Nuclear engineering, 02 engineering and technology, physical human-robot interaction, 0210 nano-technology, robot redundancy, 01 natural sciences, TK1-9971, 0104 chemical sciences

Access URL: http://www.doiserbia.nb.rs/ft.aspx?id=1451-48692101001K
https://doaj.org/article/8f37c41634d84faab7906989ada91e90
https://sjee.ftn.kg.ac.rs/index.php/sjee/article/view/570
https://sjee.ftn.kg.ac.rs/index.php/sjee/article/download/570/528

Shaping the future energy markets with hybrid multimicrogrids by sequential least squares programming

Authors: Paolo Fracas Kyle V. Camarda Edwin Zondervan

Source: Physical Sciences Reviews. 8:121-156

Subject Terms: SLSQP, 13. Climate action, 9. Industry and infrastructure, interconnected hybrid microgrids, techno-economic assessment, SDG 7 - Affordable and Clean Energy, microgrid optimization, renewable energy systems, 01 natural sciences, 7. Clean energy, NLA, distributed energy resources, 0105 earth and related environmental sciences

Access URL: https://research.utwente.nl/en/publications/shaping-the-future-energy-markets-with-hybrid-multimicrogrids-by-
https://www.narcis.nl/publication/RecordID/oai%3Aris.utwente.nl%3Apublications%2Fbbe56d29-aca2-4fbb-a375-0f954099e825

Study of the nuclear mass model by sequential least squares programming.

Authors: Yang, Hang Chen, Cun-Yu Xu, Xiao-Yu et al.

Source: Nuclear Science & Techniques; Jul2025, Vol. 36 Issue 7, p1-9, 9p

Improved SQP and SLSQP algorithms for feasible path-based process optimisation

Authors: Ma, Yingjie Gao, Xi Liu, Chao et al.

Source: Ma, Y, Gao, X, Liu, C & Li, J 2024, 'Improved SQP and SLSQP algorithms for feasible path-based process optimisation', COMPUTERS & CHEMICAL ENGINEERING, vol. 188, 108751. https://doi.org/10.1016/j.compchemeng.2024.108751

Subject Terms: Process optimisation, Feasible path algorithm, Numerical noise, Ill conditioning, Sequential least squares programming algorithm, Sequential quadratic programming

Availability: https://research.manchester.ac.uk/en/publications/5bf65570-a19c-4f6d-9b48-b0f6bdba62a0
https://doi.org/10.1016/j.compchemeng.2024.108751

Decoupling Offloading Decision and Resource Allocation via Deep Reinforcement Learning and Sequential Least Squares Programming

Authors: Zhihao Xuan Guiyi Wei Jifa Zhang et al.

Source: Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering ISBN: 9783030677190

Subject Terms: 7. Clean energy

Access URL: https://dblp.uni-trier.de/db/conf/chinacom/chinacom2020.html#XuanWNZ20
https://rd.springer.com/chapter/10.1007/978-3-030-67720-6_38
https://link.springer.com/chapter/10.1007/978-3-030-67720-6_38

Research on Prediction of Dissolved Gas Concentration in a Transformer Based on Dempster–Shafer Evidence Theory-Optimized Ensemble Learning

Authors: Pan Zhang Kang Hu Yuting Yang et al.

Source: Electronics ; Volume 14 ; Issue 7 ; Pages: 1266

Subject Terms: dissolved gas concentration, Dempster–Shafer evidence theory, Bagging, sequential least squares programming algorithm, mean square error

File Description: application/pdf

Relation: Power Electronics; https://dx.doi.org/10.3390/electronics14071266

Availability: https://doi.org/10.3390/electronics14071266

End-effector Cartesian stiffness shaping: Sequential least squares programming approach

Authors: Knežević, Nikola Lukić, Branko Jovanović, Kosta et al.

Source: Serbian Journal of Electrical Engineering (2021) 18(1):1-14 ; ISSN: 1451-4869

Subject Terms: Cartesian Stiffness Control, Robot Redundancy, Physical Human-Robot Interaction, Sequential Last Squares Programming

File Description: application/pdf; txt

Availability: http://scindeks.ceon.rs/article.aspx?artid=1451-48692101001K

A cost-effective trilateration-based radio localization algorithm using machine learning and sequential least-square programming optimization.

Authors: Marques, João Paulo P.G. Cunha, Daniel C. Harada, Lucas M.F. et al.

Source: Computer Communications. Sep2021, Vol. 177, p1-9. 9p.

Subject Terms: *ALGORITHMS, *WIRELESS communications, *WIRELESS localization, *NEXT generation networks, *5G networks, SEQUENTIAL learning, MACHINE learning

Sequential quantile regression for stream data by least squares.

Authors: Fan, Ye Lin, Nan

Source: Journal of Econometrics. May2025:Part A, Vol. 249, pN.PAG-N.PAG. 1p.

Subject Terms: *LINEAR programming, *AUTOMOBILE sales & prices, QUANTILE regression, NONSMOOTH optimization, LEAST squares

A Deep Learning-Based Ensemble System for Brent and WTI Crude Oil Price Analysis and Prediction

Authors: Yiwen Zhang Salim Lahmiri

Source: Entropy, Vol 27, Iss 11, p 1122 (2025)

Subject Terms: deep learning, ensemble system, Bayesian optimization, sequential least squares programming, crude oil market, forecasting, Science, Astrophysics, QB460-466, Physics, QC1-999

File Description: electronic resource

Relation: https://www.mdpi.com/1099-4300/27/11/1122; https://doaj.org/toc/1099-4300

Access URL: https://doaj.org/article/d65f8761630247aab8b9eb706b33928c

Sequential alternating least squares for solving high dimensional linear Hamilton-Jacobi-Bellman equation

Authors: Stefansson, Elis Leong, Y. P.

Source: IEEE International Conference on Intelligent Robots and Systems. :3757-3764

Subject Terms: Approximation algorithms, Dynamic programming, Dynamical systems, Intelligent robots, Jacobian matrices, MATLAB, Matrix algebra, Nonlinear dynamical systems, Nonlinear equations, Number theory, Stochastic systems, Alternating least squares, Approximate solution, Curse of dimensionality, Hamilton Jacobi Bellman equation, Hamilton-Jacobi-Bellman equations, Ill-conditioned matrices, Optimal controller, Tensor decomposition, Least squares approximations

File Description: print

Access URL: https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-202120

Site Survey-free Indoor Positioning System based on RSSI Diversity and Sequential Least Squares Programming

Authors: Pinto, Bráulio Henrique Orion Uchôa Veloso http://lattes.cnpq.br/2044598311458637 orcid:0000-0001-8885-5609 et al.

Contributors: Pinto, Bráulio Henrique Orion Uchôa Veloso http://lattes.cnpq.br/2044598311458637 orcid:0000-0001-8885-5609 et al.

Subject Terms: CIENCIAS EXATAS E DA TERRA: CIENCIA DA COMPUTACAO: SISTEMAS DE COMPUTACAO: TELEINFORMATICA, ENGENHARIAS: ENGENHARIA ELETRICA: TELECOMUNICACOES: RADIONAVEGACAO E RADIOASTRONOMIA, CIENCIAS EXATAS E DA TERRA: PROBABILIDADE E ESTATISTICA: ESTATISTICA: ANALISE DE DADOS, Bluetooth low-energy, Indoor positioning, Path loss model, RSSI, Optimization

File Description: application/pdf

Relation: https://tede.ufam.edu.br/handle/tede/11139

Availability: https://tede.ufam.edu.br/handle/tede/11139

Research on Prediction of Dissolved Gas Concentration in a Transformer Based on Dempster–Shafer Evidence Theory-Optimized Ensemble Learning.

Authors: Zhang, Pan Hu, Kang Yang, Yuting et al.

Source: Electronics (2079-9292); Apr2025, Vol. 14 Issue 7, p1266, 16p

Subject Terms: MACHINE learning, ENSEMBLE learning, DISTRIBUTION (Probability theory), HEALTH status indicators, ALGORITHMS, DEEP learning

An experimental study on local and global optima of linear antenna array synthesis by using the sequential least squares programming.

Authors: Gong, Miao Zhao, Fei Zeng, Sanyou et al.

Source: Applied Soft Computing. Nov2023, Vol. 148, pN.PAG-N.PAG. 1p.

Subject Terms: Linear antenna arrays, Antenna arrays, Vector spaces, Nonlinear equations, Problem solving

Estalishing a nonlinear optimization method for structural reliability analysis

Authors: Mehrshad Ghorbanzadeh P. Homami M. Shahrouzi

Source: مهندسی عمران شریف, Vol 39.2, Iss 1, Pp 81-91 (2023)

Subject Terms: structural reliability analysis, failure probability, numerical optimization, probability expectation, sequential least squares programming, Building construction, TH1-9745

File Description: electronic resource

Relation: https://sjce.journals.sharif.edu/article_23003_d728ace2c75c0bfcd2838c73114a8cf1.pdf; https://doaj.org/toc/2676-4768; https://doaj.org/toc/2676-4776

Access URL: https://doaj.org/article/b2fe4d9f2139400698d2f8df31226cdc

A Deep Learning-Based Ensemble System for Brent and WTI Crude Oil Price Analysis and Prediction.

Authors: Zhang, Yiwen Lahmiri, Salim

Source: Entropy; Nov2025, Vol. 27 Issue 11, p1122, 18p

Subject Terms: DEEP learning, ENSEMBLE learning, PETROLEUM sales & prices, ENERGY consumption, BOOSTING algorithms, CONVOLUTIONAL neural networks, MATHEMATICAL optimization, LONG short-term memory