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Artículos de revistas sobre el tema "Optimisation multistage"

Autor: Grafiati
Publicado: 25 de mayo de 2024
Última modificación: 31 de julio de 2025

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1

Goryachkin, E. S., V. N. Matveev, G. M. Popov, O. V. Baturin, and Yu D. Novikova. "Optimisation Method for Multistage Compressors." Herald of the Bauman Moscow State Technical University. Series Mechanical Engineering, no. 3 (138) (September 2021): 38–59. http://dx.doi.org/10.18698/0236-3941-2021-3-38-59.

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The paper presents an algorithm for seeking an optimal blade configuration for multistage axial-flow compressors. The primary tool behind the algorithm is 3D CFD simulation, augmented by commercial optimisation software. The core of the algorithm involves feeding an initial data vector to the parametric simulation module so as to form a "new" blade geometry, which is then transferred to 3D computational software. The results obtained are further processed in a program that implements the algorithm for seeking the optimum and forms a new input data vector to achieve the set goal. We present a m
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2

Liu, Y. Z. "Studies on process optimisation of multistage atomisation." Materials Science and Technology 18, no. 8 (2002): 929–34. http://dx.doi.org/10.1179/026708302225004766.

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3

Kwak, Doh-Soon, Kwang-Jae Kim, and Myeong-Soo Lee. "Multistage PRIM: patient rule induction method for optimisation of a multistage manufacturing process." International Journal of Production Research 48, no. 12 (2009): 3461–73. http://dx.doi.org/10.1080/00207540902791827.

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4

Küttner, R., and J. Majak. "Multistage Optimisation Strategy For Solving Production Planning Problems." IFAC Proceedings Volumes 42, no. 2 (2009): 332–37. http://dx.doi.org/10.3182/20090506-3-sf-4003.00061.

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5

Vasil'ev, S. V., M. A. Kuz'mina, and V. A. Mishin. "Optimisation of a multistage pulsed dye laser system." Quantum Electronics 31, no. 6 (2001): 505–9. http://dx.doi.org/10.1070/qe2001v031n06abeh001989.

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6

Fatemifar, Soroush, Shahrokh Asadi, Muhammad Awais, Ali Akbari, and Josef Kittler. "Face spoofing detection ensemble via multistage optimisation and pruning." Pattern Recognition Letters 158 (June 2022): 1–8. http://dx.doi.org/10.1016/j.patrec.2022.04.006.

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7

Armstrong, M., A. Galli, and R. Razanatsimba. "Using multistage stochastic optimisation to manage major production incidents." Mining Technology 121, no. 3 (2012): 125–31. http://dx.doi.org/10.1179/1743286312y.0000000010.

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8

Yan, Zhou, Hany Hassanin, Mahmoud Ahmed El-Sayed, et al. "Multistage Tool Path Optimisation of Single-Point Incremental Forming Process." Materials 14, no. 22 (2021): 6794. http://dx.doi.org/10.3390/ma14226794.

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Single-point incremental forming (SPIF) is a flexible technology that can form a wide range of sheet metal products without the need for using punch and die sets. As a relatively cheap and die-less process, this technology is preferable for small and medium customised production. However, the SPIF technology has drawbacks, such as the geometrical inaccuracy and the thickness uniformity of the shaped part. This research aims to optimise the formed part geometric accuracy and reduce the processing time of a two-stage forming strategy of SPIF. Finite element analysis (FEA) was initially used and
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9

Loveday, B. K., and A. L. Hemphill. "Optimisation of a multistage flotation plant using plant survey data." Minerals Engineering 19, no. 6-8 (2006): 627–32. http://dx.doi.org/10.1016/j.mineng.2005.09.014.

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10

Söylemez, Mehmet Sait. "On the thermo-economic optimisation of multistage flash evaporation desalination plants." International Journal of Nuclear Governance, Economy and Ecology 4, no. 2 (2014): 153. http://dx.doi.org/10.1504/ijngee.2014.065935.

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11

Rocha, Paula, and Daniel Kuhn. "Multistage stochastic portfolio optimisation in deregulated electricity markets using linear decision rules." European Journal of Operational Research 216, no. 2 (2012): 397–408. http://dx.doi.org/10.1016/j.ejor.2011.08.001.

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12

Cong, Cong, Shiyu Xuan, Sidong Liu, Shiliang Zhang, Maurice Pagnucco, and Yang Song. "Decoupled Optimisation for Long-Tailed Visual Recognition." Proceedings of the AAAI Conference on Artificial Intelligence 38, no. 2 (2024): 1380–88. http://dx.doi.org/10.1609/aaai.v38i2.27902.

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When training on a long-tailed dataset, conventional learning algorithms tend to exhibit a bias towards classes with a larger sample size. Our investigation has revealed that this biased learning tendency originates from the model parameters, which are trained to disproportionately contribute to the classes characterised by their sample size (e.g., many, medium, and few classes). To balance the overall parameter contribution across all classes, we investigate the importance of each model parameter to the learning of different class groups, and propose a multistage parameter Decouple and Optimi
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13

Bruno, Giuseppe, Gianpaolo Ghiani, Gennaro Improta, and Emanuele Manni. "A taboo search heuristic for the optimisation of a multistage component placement system." Journal of Discrete Mathematical Sciences and Cryptography 8, no. 2 (2005): 271–85. http://dx.doi.org/10.1080/09720529.2005.10698038.

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14

Volsem, Sofie Van. "Joint optimisation of all inspection parameters for multistage processes: evolutionary algorithm and simulation." International Journal of Innovative Computing and Applications 2, no. 3 (2010): 170. http://dx.doi.org/10.1504/ijica.2010.033648.

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15

Mazurkiewicz, Łukasz A., Jakub Bukała, Jerzy Małachowski, Michał Tomaszewski, and Piotr P. Buszman. "BVS stent optimisation based on a parametric model with a multistage validation process." Materials & Design 198 (January 2021): 109363. http://dx.doi.org/10.1016/j.matdes.2020.109363.

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16

Lusa, Amaia, Albert Corominas, and Norberto Muñoz. "A multistage scenario optimisation procedure to plan annualised working hours under demand uncertainty." International Journal of Production Economics 113, no. 2 (2008): 957–68. http://dx.doi.org/10.1016/j.ijpe.2007.11.009.

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17

Calvet, J. P., and L. C. Zullo. "Modelling and optimisation of a backmixed, multistage reactor for an industrial reactive system." Computers & Chemical Engineering 17 (January 1993): S129—S134. http://dx.doi.org/10.1016/0098-1354(93)80218-c.

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18

Calvet, J. "Modelling and optimisation of a backmixed, multistage reactor for an industrial reactive system." Computers & Chemical Engineering 17, no. 1 (1993): S129—S134. http://dx.doi.org/10.1016/0098-1354(93)85019-i.

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19

Li, Yu, Liang Li, Tong Zhao, and Jun Li. "Aerodynamic optimisation of a low-pressure multistage turbine using the response-surface method." Journal of Mechanical Science and Technology 27, no. 8 (2013): 2537–46. http://dx.doi.org/10.1007/s12206-013-0638-1.

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20

Zhang, Zhaoxia. "Improvement of Computer Adaptive Multistage Testing Algorithm Based on Adaptive Genetic Algorithm." International Journal of Intelligent Information Technologies 20, no. 1 (2024): 1–19. http://dx.doi.org/10.4018/ijiit.344024.

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Multistage testing (MST) is a portion of computational adaptive testing that adapts assessment structure at the sublevel rather than the component level. The goal of the MST algorithm is to identify bugs in computer programming, and there is a significant cost to utilising MST due to its decreased versatility during software development and maintenance. The efficiency of most algorithms drastically reduces for adaptive MST with complex feasible regions, while some modern algorithms function well while tackling computerised MST with a basic practicable range. The study offers an automated Adapt
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21

Sharma, Vanya, Patrick E. Longhi, Walter Ciccognani, et al. "Frequency-Bounded Matching Strategy for Wideband LNA Design Utilising a Relaxed SSNM Approach." Applied Sciences 15, no. 15 (2025): 8148. https://doi.org/10.3390/app15158148.

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This paper proposes relaxed Simultaneous Signal and Noise Matching (SSNM) conditions to address limitations in selecting source degeneration inductors for multistage LNA design, achieved by introducing controlled mismatches at the external ports. Additionally, a novel frequency-bounded mismatch envelope is introduced to guide load termination selection based on desired IM-OM (input mismatch-output mismatch) characteristics across the operating band. Building on these concepts, a systematic, easy-to-follow strategy is presented for implementing wideband multistage low-noise amplifiers (LNAs), s
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22

Mappas, Vasileios, Vassilios S. Vassiliadis, Bogdan Dorneanu, Alexander F. Routh, and Harvey Arellano-Garcia. "Maintenance scheduling optimisation of Reverse Osmosis Networks (RONs) via a multistage Optimal Control reformulation." Desalination 543 (December 2022): 116105. http://dx.doi.org/10.1016/j.desal.2022.116105.

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23

Minoux, Michel. "Robust and stochastic multistage optimisation under Markovian uncertainty with applications to production/inventory problems." International Journal of Production Research 56, no. 1-2 (2017): 565–83. http://dx.doi.org/10.1080/00207543.2017.1394597.

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24

Manimaran, P., V. Selladurai, W. C. Yeh, and M. Sivakumar. "Particle Swarm Optimisation for fixed-charge transportation problem in a Multistage Supply Chain Network." International Journal of Logistics Systems and Management 9, no. 3 (2011): 328. http://dx.doi.org/10.1504/ijlsm.2011.041692.

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25

Manimaran, P., V. Selladurai, and Rajesh Ranganathan. "A simple heuristics for optimisation of unbalanced multistage supply chain logistics associated with fixed charges." International Journal of Procurement Management 4, no. 2 (2011): 203. http://dx.doi.org/10.1504/ijpm.2011.038899.

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26

Yan, Haiyang, Yaoming Wang, Liang Wu, et al. "Multistage-batch electrodialysis to concentrate high-salinity solutions: Process optimisation, water transport, and energy consumption." Journal of Membrane Science 570-571 (January 2019): 245–57. http://dx.doi.org/10.1016/j.memsci.2018.10.008.

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27

Abe, Y., K. Mori, and O. Ebihara. "Optimisation of the distribution of wall thickness in the multistage sheet metal forming of wheel disks." Journal of Materials Processing Technology 125-126 (September 2002): 792–97. http://dx.doi.org/10.1016/s0924-0136(02)00394-1.

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28

Li, Liang, Changhe Du, Xiaojun Fan, and Gangyun Zhong. "Optimisation of a low-pressure multistage steam turbine towards decreasing the wetness losses and aerodynamic losses." Proceedings of the Institution of Mechanical Engineers, Part A: Journal of Power and Energy 230, no. 4 (2016): 345–53. http://dx.doi.org/10.1177/0957650916630036.

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29

Szelag, Wojciech, Cezary Jedryczka, Mariusz Baranski, and Milena Kurzawa. "Design, Analysis and Experimental Verification of a Coreless Permanent Magnet Synchronous Motor." Energies 17, no. 7 (2024): 1664. http://dx.doi.org/10.3390/en17071664.

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The paper presents a new cost-effective magnetic circuit structure of a coreless permanent magnet synchronous motor (PMSM) with 16 poles and 12 coils for a mass production fan drive unit. 2D and 3D numerical models of the coreless PMSM were developed. Optimisation calculations were carried out using the field model of the machine. Multistage calculations were performed using the professional FEM package, ANSYS Maxwell and the author’s proprietary finite element method (FEM) code. On the basis of the conducted tests and analysis of the obtained results, the “optimal” magnetic circuit structure
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30

Karczewski, Artur, and Janusz Kozak. "Variant Designing in the Preliminary Small Ship Design Process." Polish Maritime Research 24, no. 2 (2017): 77–82. http://dx.doi.org/10.1515/pomr-2017-0052.

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Abstract Ship designing is a complex process, as the ship itself is a complex, technical multi-level object which operates in the air/water boundary environment and is exposed to the action of many different external and internal factors resulting from the adopted technical solutions, type of operation, and environmental conditions. A traditional ship design process consists of a series of subsequent multistage iterations, which gradually increase the design identification level. The paper presents problems related to the design of a small untypical vessel with the aid of variant methodology m
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31

Stanko, Petro, Olena Ohremchuk, Daria Salamatina, and Daria Sverdlova. "TASK SCHEDULING OPTIMISATION OF DISTRIBUTED REAL-TIME COMPUTING SYSTEMS." Science-based technologies 60, no. 4 (2024): 386–93. http://dx.doi.org/10.18372/2310-5461.60.18267.

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Distributed computing structures for production and special purposes represent the resources of soft or hard real-time systems. The problem of task planning is to determine the optimal distribution according to the generalized criterion of system utility. The article discusses the methods of building a schedule, based on the theory of planning. It is shown that the most effective step in this process is the optimisation of the activity of the enterprises or organizations at all levels - economic, technical, informational, etc., under the conditions of natural limitations on time resources. Sin
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32

McMurray, Robert J., M. O’Donnell, Alan G. Leacock, and Desmond Brown. "Modelling the Effect of Pre-Strain and Inter-Stage Annealing on the Stretch Forming of a 2024 Aluminium Alloy." Key Engineering Materials 410-411 (March 2009): 421–28. http://dx.doi.org/10.4028/www.scientific.net/kem.410-411.421.

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The severe double curvatures often encountered in aerospace fuselage and nacelle skins often necessitate multistage stretch forming operations. Each stage adds value to the component and rejection, particularly at later stages, must be avoided. Therefore process optimisation using accurate modelling tools to predict the strain levels is essential. This paper presents a novel method for modelling the aforementioned stages of the process using a tailored material model based on strain history and heat treatment. The modelling process is implemented within the PAMSTAMP Finite Element code, by mod
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33

Mukherjee, Indrajit, and Pradip Kumar Ray. "Quality improvement of multistage and multi-response grinding processes: an insight into two different methodologies for parameter optimisation." International Journal of Productivity and Quality Management 4, no. 5/6 (2009): 613. http://dx.doi.org/10.1504/ijpqm.2009.025188.

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34

Shopa, Roman Y., and Kamil Dulski. "Positronium imaging in J-PET with an iterative activity reconstruction and a multistage fitting algorithm." Bio-Algorithms and Med-Systems 19, no. 1 (2023): 54–63. http://dx.doi.org/10.5604/01.3001.0054.1826.

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Positronium imaging is a new technique complementary to positron emission tomography (PET) based on the histogramming of time delay between the emission of a de-excitation photon, and a consequent electron-positron annihilation, to estimate the mean lifetime of orthopositronium (o-Ps), which depends on the local size of the voids, concentration of oxygen and bioactive molecules. We improve the resolution and reduce noise in positronium imaging by building time-delay spectra from the PET activity reconstructed by a 3-photon time-of-flight maximum likelihood expectation maximisation. The method
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35

Mupondo, Ndava Constantine. "Use of Multistage Optimisation Technique in Formulation of Strategies to Reduce Customer Churn Problem Facing Internet Operators in Zimbabwe." Science Journal of Applied Mathematics and Statistics 1, no. 2 (2013): 7. http://dx.doi.org/10.11648/j.sjams.20130102.11.

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36

Liang, Zhi-chao, Yu Yang, Qiu Xie, Jing Wang, Xue-jiao Zhang, and Bao-dong Li. "Dynamic three-sided matching model for personnel–robot-position matching problem in intelligent environments." PLOS ONE 18, no. 4 (2023): e0282312. http://dx.doi.org/10.1371/journal.pone.0282312.

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In recent years, intelligent robots have facilitated intelligent production, and a new type of problem (personnel–robot-position matching (PRPM)) has been encountered in personnel–position matching (PPM). In this study, a dynamic three-sided matching model is proposed to solve the PRPM problem in an intelligent production line based on man–machine collaboration. The first issue considered is setting the dynamic reference point, which is addressed in the information evaluation phase by proposing a method for setting the dynamic reference point based on the prospect theory. Another important iss
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37

Al-Obaidi, M. A., J.-P. Li, S. Alsadaie, C. Kara-Zaïtri, and I. M. Mujtaba. "Modelling and optimisation of a multistage Reverse Osmosis processes with permeate reprocessing and recycling for the removal of N-nitrosodimethylamine from wastewater using Species Conserving Genetic Algorithms." Chemical Engineering Journal 350 (October 2018): 824–34. http://dx.doi.org/10.1016/j.cej.2018.06.022.

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38

Picton, H. M., S. E. Harris, W. Muruvi, and E. L. Chambers. "The in vitro growth and maturation of follicles." REPRODUCTION 136, no. 6 (2008): 703–15. http://dx.doi.org/10.1530/rep-08-0290.

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The development of technologies to grow oocytes from the most abundant primordial follicles to maturity in vitro holds many attractions for clinical practice, animal production technology and research. The production of fertile oocytes and live offspring has been achieved in mice following the long-term culture of oocytes in primordial follicles from both fresh and cryopreserved ovarian tissue. In contrast, in non-rodent species advances in follicle culture are centred on the growth of isolated preantral follicles. As a functional unit, mammalian preantral follicles are well-suited to culture
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39

Krska, R., A. Malachova, F. Berthiller, and H. P. van Egmond. "Determination of T-2 and HT-2 toxins in food and feed: an update." World Mycotoxin Journal 7, no. 2 (2014): 131–42. http://dx.doi.org/10.3920/wmj2013.1605.

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Based on the recent scientific opinion of the European Food Safety Authority (EFSA) Panel on Contaminants in the Food Chain on the risks to human and animal health related to the presence of T-2 and HT-2 toxins in food and feed that was published by EFSA in the EFSA Journal, this article provides an update on the determination of these Fusarium mycotoxins. After a brief introduction into the chemistry of these toxins, both chromatographic and immuno-analytical methods are discussed for the determination of these type A trichothecenes. During the last decade, liquid chromatography with (tandem)
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40

Cau, T. D. H., and R. J. Kaye. "Evolutionary optimisation method for multistorage hydrothermal scheduling." IEE Proceedings - Generation, Transmission and Distribution 149, no. 2 (2002): 152. http://dx.doi.org/10.1049/ip-gtd:20020120.

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41

Huang, Chao-Hui, Chun-Ho Wang, and Guan-Liang Chen. "Multiobjective Multistate System Preventive Maintenance Model with Human Reliability." International Journal of Aerospace Engineering 2021 (July 14, 2021): 1–16. http://dx.doi.org/10.1155/2021/6623810.

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Modern equipment is designed to operate under deteriorating performance conditions resulting from internal ageing and/or external environmental impacts influencing downstream maintenance. This study focuses on the development of a multistate system (MSS) that considers a human reliability factor associated with maintenance personnel—a condition-based multiobjective MSS preventive maintenance model (MSSPMM). The study assumes that no more than one maintenance activity is performed to achieve the most appropriate preventive maintenance (PM) strategy and easy implementation and to reduce maintena
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42

Kajal, Sanjay, and P. C. Tewari. "Performance optimisation of a multistate operating system with hot redundancy." International Journal of Intelligent Enterprise 2, no. 4 (2014): 294. http://dx.doi.org/10.1504/ijie.2014.069069.

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43

Hufenbach, W., and M. Gude. "Analysis and optimisation of multistable composites under residual stresses." Composite Structures 55, no. 3 (2002): 319–27. http://dx.doi.org/10.1016/s0263-8223(01)00153-2.

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44

Betrò, Bruno, and Fabio Schoen. "Sequential stopping rules for the multistart algorithm in global optimisation." Mathematical Programming 38, no. 3 (1987): 271–86. http://dx.doi.org/10.1007/bf02592015.

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45

Shterenlikht, Anton, Mohammad M. Kashani, Nicholas A. Alexander, Gethin Williams, and Adam J. Crewe. "Autotuning of Isotropic Hardening Constitutive Models on Real Steel Buckling Data with Finite Element Based Multistart Global Optimisation on Parallel Computers." Modelling and Simulation in Engineering 2017 (2017): 1–10. http://dx.doi.org/10.1155/2017/6132106.

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An automatic framework for tuning plastic constitutive models is proposed. It is based on multistart global optimisation method, where the objective function is provided by the results of multiple elastoplastic finite element analyses, executed concurrently. Wrapper scripts were developed for fully automatic preprocessing, including model and mesh generation, analysis, and postprocessing. The framework is applied to an isotropic power hardening plasticity using real load/displacement data from multiple steel buckling tests. M. J. D. Powell’s BOBYQA constrained optimisation package was used for
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46

Zhang, Lei, Yifan Zhou, and Chuanhui Huang. "An approximate hybrid approach to maintenance optimisation for a system with multistate components." International Journal of System Assurance Engineering and Management 8, no. 1 (2016): 189–96. http://dx.doi.org/10.1007/s13198-016-0560-x.

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47

Brahim, Elhacen, Sofiane Guessasma, Abdellatif Imad, and Noureddine Benseddiq. "Identification of the mechanical behaviour of biopolymer composites using multistart optimisation technique." Materials & Design 51 (October 2013): 391–97. http://dx.doi.org/10.1016/j.matdes.2013.04.005.

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48

Zhou, Yifan, Libo Liu, and Hao Li. "Reliability estimation and optimisation of multistate flow networks using a conditional Monte Carlo method." Reliability Engineering & System Safety 221 (May 2022): 108382. http://dx.doi.org/10.1016/j.ress.2022.108382.

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49

Yusuf, Noor, and Tareq Al-Ansari. "Current and Future Role of Natural Gas Supply Chains in the Transition to a Low-Carbon Hydrogen Economy: A Comprehensive Review on Integrated Natural Gas Supply Chain Optimisation Models." Energies 16, no. 22 (2023): 7672. http://dx.doi.org/10.3390/en16227672.

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Natural gas is the most growing fossil fuel due to its environmental advantages. For the economical transportation of natural gas to distant markets, physical (i.e., liquefaction and compression) or chemical (i.e., direct and indirect) monetisation options must be considered to reduce volume and meet the demand of different markets. Planning natural gas supply chains is a complex problem in today’s turbulent markets, especially considering the uncertainties associated with final market demand and competition with emerging renewable and hydrogen energies. This review study evaluates the latest
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50

Zhou, Yifan, Tian Ran Lin, Yong Sun, Yangqing Bian, and Lin Ma. "An effective approach to reducing strategy space for maintenance optimisation of multistate series–parallel systems." Reliability Engineering & System Safety 138 (June 2015): 40–53. http://dx.doi.org/10.1016/j.ress.2015.01.018.

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