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Journal articles on the topic 'Multiparametric optimization'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

Leverenz, Jonathon, Meng Xu, and Margaret M. Wiecek. "Multiparametric optimization for multidisciplinary engineering design." Structural and Multidisciplinary Optimization 54, no. 4 (2016): 795–810. http://dx.doi.org/10.1007/s00158-016-1437-y.

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2

Grimaila, Vitas, and Narimantas Listopadskis. "Multiparametric optimization of coverage for access network." Lietuvos matematikos rinkinys 44 (December 17, 2004): 714–20. http://dx.doi.org/10.15388/lmr.2004.32239.

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An important part of the telecommunication network is subscriber access. The multiparametric method that was developed for the access sector optimization allows choosing the optimal access structure and the technology in respect to the costs with assurance of sufficient quality of service.

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3

Pereverzev, P. P., and A. V. Akintseva. "Automatic Cycles Multiparametric Optimization of Internal Grinding." Procedia Engineering 129 (2015): 121–26. http://dx.doi.org/10.1016/j.proeng.2015.12.019.

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4

Dua, V., K. P. Papalexandri, and E. N. Pistikopoulos. "Global Optimization Issues in Multiparametric Continuous and Mixed-Integer Optimization Problems." Journal of Global Optimization 30, no. 1 (2004): 59–89. http://dx.doi.org/10.1023/b:jogo.0000049091.73047.7e.

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5

Gvozdev, A. E., I. V. Golyshev, I. V. Minayev, et al. "Multiparametric optimization of laser cutting of steel sheets." Inorganic Materials: Applied Research 6, no. 4 (2015): 305–10. http://dx.doi.org/10.1134/s2075113315040115.

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6

Pappas, Iosif, Styliani Avraamidou, Justin Katz, et al. "Multiobjective Optimization of Mixed-Integer Linear Programming Problems: A Multiparametric Optimization Approach." Industrial & Engineering Chemistry Research 60, no. 23 (2021): 8493–503. http://dx.doi.org/10.1021/acs.iecr.1c01175.

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7

Varga, Rok, Bojan Žlender, and Primož Jelušič. "Multiparametric Analysis of a Gravity Retaining Wall." Applied Sciences 11, no. 13 (2021): 6233. http://dx.doi.org/10.3390/app11136233.

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The design of a gravity retaining wall should be simple to construct, quick to build and the best economic solution to a problem. This can be achieved by using advanced optimization methods. Since geotechnical engineers are not always able to determine the exact soil properties and other project data, an optimal design of a gravity retaining wall should also be determined for a wide range of input parameters. Therefore, a multiparametric analysis of an optimal designed gravity retaining wall was carried out. Optimum designs of gravity retaining walls were obtained for 567 combinations of diffe

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8

Gollmer, R. "On linear multiparametric optimization with parameter-dependent constraint matrix." Optimization 16, no. 1 (1985): 15–28. http://dx.doi.org/10.1080/02331938508842983.

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9

Merkert, Lennart, Kim Listmann, and Sören Hohmann. "Optimization of thermo-hydraulic systems using multiparametric delay modeling." Energy 189 (December 2019): 116125. http://dx.doi.org/10.1016/j.energy.2019.116125.

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10

Burnak, Baris, Nikolaos A. Diangelakis, and Efstratios N. Pistikopoulos. "Integrated Process Design and Operational Optimization via Multiparametric Programming." Synthesis Lectures on Engineering, Science, and Technology 2, no. 7 (2020): 1–258. http://dx.doi.org/10.2200/s01028ed1v01y202006est011.

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11

Teles, João P., Pedro M. Castro, and Henrique A. Matos. "Global optimization of water networks design using multiparametric disaggregation." Computers & Chemical Engineering 40 (May 2012): 132–47. http://dx.doi.org/10.1016/j.compchemeng.2012.02.018.

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12

Straka, Ľuboslav, and Ivan Čorný. "Prediction and Multiparametric Optimization of the Machined Surface Quality of Tool Steels in Precise Wire Electrical Discharge Machining." Machines 12, no. 4 (2024): 248. http://dx.doi.org/10.3390/machines12040248.

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This article describes a proposed procedure for multiparametric optimization of the quality of machined surfaces, including mathematical models that can predict the high quality of a precisely machined surface and, at the same time, the high productivity of the process in WEDM of tool steels. The experimental research was carried out using the full DoE factorial design method, which has four technological parameters. The measured output qualitative parameter Surface Roughness (SR) and the output quantitative parameter Material Removal Rate (MRR) were evaluated using the Grey Relational Analysi

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13

Lutz, Norbert W., and Patrick J. Cozzone. "Principles of multiparametric optimization for phospholipidomics by 31P NMR spectroscopy." Biophysical Reviews 5, no. 4 (2013): 295–304. http://dx.doi.org/10.1007/s12551-013-0105-3.

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14

Kolodziej, Scott, Pedro M. Castro, and Ignacio E. Grossmann. "Global optimization of bilinear programs with a multiparametric disaggregation technique." Journal of Global Optimization 57, no. 4 (2013): 1039–63. http://dx.doi.org/10.1007/s10898-012-0022-1.

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15

Shida, Masayuki. "Change of generalized indices of stationary solutions. to multiparametric optimization." Mathematical Programming 88, no. 1 (2000): 193–210. http://dx.doi.org/10.1007/pl00011374.

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16

Naşcu, Ioana, and Efstratios N. Pistikopoulos. "A multiparametric model-based optimization and control approach to anaesthesia." Canadian Journal of Chemical Engineering 94, no. 11 (2016): 2125–37. http://dx.doi.org/10.1002/cjce.22634.

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17

Yang, Xiaoliu, Zetao Li, Qingfang Zhang, Qinmu Wu, and Linli Yang. "A Nonlinear Adaptive Observer-Based Differential Evolution Algorithm to Multiparameter Fault Diagnosis." Mathematical Problems in Engineering 2020 (May 7, 2020): 1–12. http://dx.doi.org/10.1155/2020/4531075.

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In this paper, a novel adaptive diagnosis scheme is proposed for multiparametric faults of nonlinear systems by using the model and intelligent optimization-based approaches. The key idea of the proposed method is to analyze the correlation of the output signals between the real system and the fault identification system instead of residual. A new adaptive scheme is built based on an adaptive observer and differential evolution algorithm. Meanwhile, the conditions of detectability and identifiability of faults are analyzed. The isolation and estimation of the multiparametric fault are formulat

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18

Lyutov, A. G., and A. R. Ishkulova. "Application of evolutionary and swarm methods to optimize the multiparametric control of the electroplating process." Bulletin of the South Ural State University. Ser. Computer Technologies, Automatic Control & Radioelectronics 24, no. 3 (2024): 29–39. http://dx.doi.org/10.14529/ctcr240303.

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One of the key parameters of the quality of ceramic coatings is its thickness, which must meet technical requirements and provide the necessary degree of corrosion protection, wear resistance and appearance of the coating. Ensuring the uniformity of the galvanic coating is one of the most important and complex tasks of high-tech machine-building production, for which a number of methods have been proposed, such as controlling current modes, the location of electrodes in the bath, and the electrolyte flow rate. However, in most cases, these methods require solving the problem of optimal multipa

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19

Nelson, Ricardo Coelho Flores Zuniga. "COMPARISON OF GLOBAL SEARCH OPTIMIZATION ALGORITHMS TO PERFORM THE VELOCITY ANALYSIS WITH A CONVERTED WAVE MOVEOUT EQUATION." International Journal of Research - Granthaalayah 7, no. 6 (2019): 1–9. https://doi.org/10.5281/zenodo.3262101.

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Even with previous works having studied about the accuracy and objective function of several nonhyperbolic multiparametric travel-time approximations for velocity analysis, they lack tests concerning different optimization algorithms and how they influence the accuracy and processing time. Once many approximations were tested and found the multimodal one which presented the best accuracy results, it is possible to perform a velocity analysis with different global search optimization algorithms. The minimization of the curve calculated with the converted wave moveout equation to the observed cu

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20

Beaudry, Jean-Paul, and André P. Langlois. "Multiparametric sensitivity analysis of energy production projects." Canadian Journal of Civil Engineering 13, no. 2 (1986): 121–29. http://dx.doi.org/10.1139/l86-020.

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Optimization studies of an energy production project or complex consist in determining the economic general dimensioning of the works during the prefeasibility or the feasibility stage of the studies. As these first studies are part of the iterative system planning process, they should include very exhaustive sensitivity analyses on the accuracy of all technical and economic parameters, although (and even because) so much data is uncertain during this phase.After a review of the mathematics of discounting and of the decision-making economic criteria, a nomographic approach is presented that al

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21

Pospelov, Kapiton N., Zhanna V. Burlutskaya, Aleksei M. Gintciak, and Konstantin D. Troshchenko. "Multiparametric Optimization of Complex System Management Scenarios Based on Simulation Models." International Journal of Technology 14, no. 8 (2023): 1748. http://dx.doi.org/10.14716/ijtech.v14i8.6832.

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22

Dua, Vivek, and Efstratios N. Pistikopoulos. "Algorithms for the Solution of Multiparametric Mixed-Integer Nonlinear Optimization Problems." Industrial & Engineering Chemistry Research 38, no. 10 (1999): 3976–87. http://dx.doi.org/10.1021/ie980792u.

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23

Soulier, B., and P. A. Boucard. "A multiparametric strategy for the two step optimization of structural assemblies." Structural and Multidisciplinary Optimization 47, no. 4 (2013): 539–53. http://dx.doi.org/10.1007/s00158-012-0854-9.

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24

Borrelli, F., A. Bemporad, and M. Morari. "Geometric Algorithm for Multiparametric Linear Programming." Journal of Optimization Theory and Applications 118, no. 3 (2003): 515–40. http://dx.doi.org/10.1023/b:jota.0000004869.66331.5c.

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25

Morvayová, Alexandra, Nicola Contuzzi, Laura Fabbiano, and Giuseppe Casalino. "Multi-Attribute Decision Making: Parametric Optimization and Modeling of the FDM Manufacturing Process Using PLA/Wood Biocomposites." Materials 17, no. 4 (2024): 924. http://dx.doi.org/10.3390/ma17040924.

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The low carbon footprint, biodegradability, interesting mechanical properties, and relatively low price are considered some of the reasons for the increased interest in polylactic acid-based (PLA-based) filaments supplied with natural fillers. However, it is essential to recognize that incorporating natural fillers into virgin PLA significantly impacts the printability of the resulting blends. The complex inter-relationship between process, structure, and properties in the context of fused deposition modeling (FDM)-manufactured biocomposites is still not fully understood, which thus often resu

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26

Dziuba, P. "SAFETY FIRST INVESTMENT PORTFOLIOS OPTIMIZATION: ALTERNATIVE VIEW ON PORTFOLIO PARADIGM OF INTERNATIONAL INVESTING ORIGIN." ACTUAL PROBLEMS OF INTERNATIONAL RELATIONS, no. 132 (2017): 109–24. http://dx.doi.org/10.17721/apmv.2017.132.0.109-124.

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Gnoseological framework of contemporary paradigm of international portfolio investing origin and development is explored. It is revealed and justified that the results of Markowitz and Roy seminal fundamental research are very similar and they both have paradigm constituent meaning. The paper proves that unlike the widely spread attitude to Markowitz as to the portfolio paradigm founder its appearance is bound up with seminal research of both scholars. Their papers were published simultaneously and independently. It is evidenced that although both approaches are highly identical in terms of su

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27

Yakhno, Volodymyr, Vadym Kolumbet, Petar Halachev, Vladyslav Khambir, and Ruslan Ivanenko. "Methods and algorithms of optimization in computer engineering: review and comparative analysis." Data and Metadata 3 (July 17, 2024): 443. http://dx.doi.org/10.56294/dm2024443.

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Introduction: The main areas of application of artificial intelligence for algorithmic analysis and optimization of information flows in tasks of multiparametric diagnostics by means of computer engineering are considered. The issues of globalization of all areas of humanitarian, scientific, technical and engineering activities of human society are considered. It is noted that the common denominator of all directions is information flows. The main tools for their management and algorithmic analysis are multi-parametric methods of artificial intelligence. Methods: One of its most relevant areas

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28

Fahad, H. M., S. Dorsch, M. Zaiß, and C. P. Karger. "PO-1638 Multiparametric optimization of MR imaging sequences for MR guided radiotherapy." Radiotherapy and Oncology 170 (May 2022): S1433—S1434. http://dx.doi.org/10.1016/s0167-8140(22)03602-7.

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29

Braunstein, J., Hyeong-Seok Kim, and Kyung Choi. "Multiparametric Analysis and Optimization for Narrow Beams Radiating From Finite Antenna Arrays." IEEE Transactions on Magnetics 44, no. 6 (2008): 1670–73. http://dx.doi.org/10.1109/tmag.2008.915844.

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30

Alicha, Esidene, Maureen Allen, Chukwunonso Nwogu, Ken Nwosu-Obieogu, and Bethrand Nwankwojike. "MULTIPARAMETRIC SIMULATION OPTIMIZATION OF AN IMPROVED SMALL HOLDING SOAP STAMPING-TABLETING MACHINE." Journal of Innovations in Business and Industry 2, no. 4 (2024): 251–60. http://dx.doi.org/10.61552/jibi.2024.04.007.

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The performance of a Soap Stamping-Tableting was quantified and optimized in this study to response surface methodology. The operational parameters evaluated were conveying speed, stamping and tableting speed, and time of operation while the tableting efficiency, throughput and specific energy consumption of the machine constitutes the responses variables. Response surface analysis was employed and the initial linear models developed augmented to quadratic models when it was established using the analysis of variance (ANOVA) and residual plots to estimate the performance of the soap stamping a

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31

Renz, Joachim A., Thomas Keller, Martin Schneider, et al. "Multiparametric optimization of polymer solar cells: A route to reproducible high efficiency." Solar Energy Materials and Solar Cells 93, no. 4 (2009): 508–13. http://dx.doi.org/10.1016/j.solmat.2008.11.001.

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32

Verdier, Mireille, Chantal Jayat, Marie-Hel�ne Ratinaud, and Danielle Troutaud. "Optimization of cell permeabilization for multiparametric flow cytometric analysis with lectin staining." Cytometry 41, no. 1 (2000): 55–61. http://dx.doi.org/10.1002/1097-0320(20000901)41:1<55::aid-cyto8>3.0.co;2-a.

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33

Zuniga, Nelson Ricardo Coelho Flores. "COMPARISON OF GLOBAL SEARCH OPTIMIZATION ALGORITHMS TO PERFORM THE VELOCITY ANALYSIS WITH A CONVERTED WAVE MOVEOUT EQUATION." International Journal of Research -GRANTHAALAYAH 7, no. 6 (2019): 1–9. http://dx.doi.org/10.29121/granthaalayah.v7.i6.2019.732.

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Even with previous works having studied about the accuracy and objective function of several nonhyperbolic multiparametric travel-time approximations for velocity analysis, they lack tests concerning different optimization algorithms and how they influence the accuracy and processing time. Once many approximations were tested and found the multimodal one which presented the best accuracy results, it is possible to perform a velocity analysis with different global search optimization algorithms. The minimization of the curve calculated with the converted wave moveout equation to the observed cu

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34

Василенко, Юрий, Yuriy Vasilenko, Анна Морозова, Anna Morozova, Антон Тюхта, and Anton Tyukhta. "Diagnostic and neuro-network model of typification and identification of multiparametric social objects." Bulletin of Bryansk state technical university 2015, no. 3 (2015): 147–56. http://dx.doi.org/10.12737/23008.

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The techniques experience for the application of the MSO diagnostic neuronal model is presented by the example of a neuro-network quality metering and competence typificat6ion and identification of young engineering experts at the optimization of their selection for vacant seats filling at industrial enterprises.

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35

Pyatakovich, F. A., T. I. Yakunchenko, and K. F. Makkonen. "DEVELOPMENT OF THE MODELS TO OPTIMIZATION IN SYSTEM BIOTEHNICAL OF THE PLAYING CAR TRAINING." Bulletin of Siberian Medicine 12, no. 2 (2013): 113–18. http://dx.doi.org/10.20538/1682-0363-2013-2-113-118.

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The Purpose – its were developed multiparametric models and algorithms of the optimization playing training biooperated. In work are used methods of the system analysis, modeling, system technical analysis and constructing, mathematical statistics, methods of the computer analysis heart rate variability by means of sensor of the pulse and breathings.The Conclusion: its were designed two models of strategy playing, one – with installation on avoid of the failures and the second – on achievement of the success. The algorithms of the success and efficiency were formed for period of the terminatio

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36

Armas, M. A., R. María-Hormigos, A. Cantalapiedra, M. J. Gismera, M. T. Sevilla, and J. R. Procopio. "Multiparametric optimization of a new high-sensitive and disposable mercury (II) electrochemical sensor." Analytica Chimica Acta 904 (January 2016): 76–82. http://dx.doi.org/10.1016/j.aca.2015.11.016.

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37

Fleau, Charlotte, Angel Padilla, Juan Miguel-Siles, et al. "Chagas Disease Drug Discovery: Multiparametric Lead Optimization against Trypanosoma cruzi in Acylaminobenzothiazole Series." Journal of Medicinal Chemistry 62, no. 22 (2019): 10362–75. http://dx.doi.org/10.1021/acs.jmedchem.9b01429.

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38

Korycki, R. "Multiparametric shape optimal design of disks." Structural Optimization 9, no. 1 (1995): 25–32. http://dx.doi.org/10.1007/bf01742641.

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39

Mohammadkhani, M. A., F. Bayat, and A. A. Jalali. "Constrained linear parameter-varying control using approximate multiparametric programming." Optimal Control Applications and Methods 39, no. 5 (2018): 1670–83. http://dx.doi.org/10.1002/oca.2435.

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40

Máté, Gábor, Dezső Szikra, Jakub Šimeček, et al. "Multiparametric labeling optimization and synthesis of68Ga-labeled compounds applying a continuous-flow microfluidic methodology." Journal of Flow Chemistry 6, no. 2 (2016): 86–93. http://dx.doi.org/10.1556/1846.2016.00004.

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41

Katz, Justin, and Efstratios N. Pistikopoulos. "A partial multiparametric optimization strategy to improve the computational performance of model predictive control." Computers & Chemical Engineering 142 (November 2020): 107057. http://dx.doi.org/10.1016/j.compchemeng.2020.107057.

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42

Wittmann-Hohlbein, Martina, and Efstratios N. Pistikopoulos. "Proactive scheduling of batch processes by a combined robust optimization and multiparametric programming approach." AIChE Journal 59, no. 11 (2013): 4184–211. http://dx.doi.org/10.1002/aic.14140.

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43

Zver′kov, Vladimir P., Viktor F. Kuzishchin, and Vladimir R. Sabanin. "A Study and Optimization of Nuclear Power Facility Control Systems with the Use of Simulation Models." Vestnik MEI, no. 6 (2021): 122–31. http://dx.doi.org/10.24160/1993-6982-2021-6-122-131.

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Matters concerned with development of a fully variable nonlinear simulation model of a double-loop system for automatically controlling the steam pressure in the main steam header (MSH) of a VVER type reactor based NPP power unit’s secondary circuit are considered. A two-stage procedure for optimizing the control system dynamic tuning is described, which uses the linear system frequency analysis method at the first stage and a numerical simulation and optimization method at the second stage, which takes into account the nonlinearities of the control equipment and control object. An evolutionar

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44

Flores Zuniga, Nelson Ricardo. "LOCAL SEARCH OPTIMIZATION: A COMPARISON OF ALGORITHMS FOR NONHYPERBOLIC TRAVEL-TIME ANALYSIS." International Journal of Research -GRANTHAALAYAH 7, no. 4 (2019): 321–28. http://dx.doi.org/10.29121/granthaalayah.v7.i4.2019.914.

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In the last decade, many works compared nonhyperbolic multiparametric travel-time approximations to perform velocity analysis. In these works, some analyses were accomplished, such as accuracy analysis and objective function analysis. However, no previous works compared the optimization algorithms to perform the inversion procedure concerning the processing time and the accuracy of each algorithm. As the shifted hyperbola showed the best results among the unimodal approximations in previous works, it was selected to be used in a comparison with five local search optimization algorithms. Each a

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45

Nelson, Ricardo Coelho Flores Zuniga. "LOCAL SEARCH OPTIMIZATION: A COMPARISON OF ALGORITHMS FOR NONHYPERBOLIC TRAVEL-TIME ANALYSIS." International Journal of Research - Granthaalayah 7, no. 4 (2019): 321–28. https://doi.org/10.5281/zenodo.2667687.

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In the last decade, many works compared nonhyperbolic multiparametric travel-time approximations to perform velocity analysis. In these works, some analyses were accomplished, such as accuracy analysis and objective function analysis. However, no previous works compared the optimization algorithms to perform the inversion procedure concerning the processing time and the accuracy of each algorithm. As the shifted hyperbola showed the best results among the unimodal approximations in previous works, it was selected to be used in a comparison with five local search optimization algorithms. Each a

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46

Cabrera-Tobar, Ana, Alessandro Massi Pavan, Giovanni Petrone, and Giovanni Spagnuolo. "A Review of the Optimization and Control Techniques in the Presence of Uncertainties for the Energy Management of Microgrids." Energies 15, no. 23 (2022): 9114. http://dx.doi.org/10.3390/en15239114.

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This paper reviews the current techniques used in energy management systems to optimize energy schedules into microgrids, accounting for uncertainties for various time frames (day-ahead and real-time operations). The current uncertainties affecting applications, including residential, commercial, virtual power plants, electric mobility, and multi-carrier microgrids, are the main subjects of this article. We outline the most recent modeling approaches to describe the uncertainties associated with various microgrid applications, such as prediction errors, load consumption, degradation, and state

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47

Shamekhi, Amir‐Mohammad, Amir Taghavipour, and Amir H. Shamekhi. "Engine idle speed control using nonlinear multiparametric model predictive control." Optimal Control Applications and Methods 41, no. 3 (2020): 960–79. http://dx.doi.org/10.1002/oca.2581.

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48

Ravindra R. Bombale. "Optimization of Multi-Parameter Processes for Surface Quality." Journal of Information Systems Engineering and Management 10, no. 45s (2025): 927–32. https://doi.org/10.52783/jisem.v10i45s.9053.

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This work offers a thorough method for improving surface quality via multi-parameter process optimization. The goal of the study is to create a cohesive framework that combines computational modeling, experimental validation, and sophisticated optimization approaches to enhance surface finish in a variety of manufacturing processes. To find the best process parameters and how they interact, the suggested methodology combines statistical analysis, machine learning algorithms, and met heuristic optimization techniques. Including mathematical models that can forecast both the high quality of a pr

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49

Tutueva, Aleksandra, and Denis Butusov. "Stability Analysis and Optimization of Semi-Explicit Predictor–Corrector Methods." Mathematics 9, no. 19 (2021): 2463. http://dx.doi.org/10.3390/math9192463.

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The increasing complexity of advanced devices and systems increases the scale of mathematical models used in computer simulations. Multiparametric analysis and study on long-term time intervals of large-scale systems are computationally expensive. Therefore, efficient numerical methods are required to reduce time costs. Recently, semi-explicit and semi-implicit Adams–Bashforth–Moulton methods have been proposed, showing great computational efficiency in low-dimensional systems simulation. In this study, we examine the numerical stability of these methods by plotting stability regions. We expli

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50

Houdková, Š., P. Šulcová, K. Lencová, Z. Česánek, and M. Švantner. "Twin Wire Arc Sprayed Coatings for Power Industry Applications – process parameters optimization study." Journal of Physics: Conference Series 2572, no. 1 (2023): 012001. http://dx.doi.org/10.1088/1742-6596/2572/1/012001.

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Abstract TWAS technology is established and widely used in practice for spraying metal alloy-based coatings, benefiting from the low cost of the device and the mobility, enabling the application of the coatings even on large structures without the need for disassembly. TWAS coatings properties and performance depends not only on the chosen type of the material but also on the deposition process parameters, which must be carefully chosen so that the properties of the resulting coating meet expectations. This paper presents the results of the spraying parameters optimization study, obtained usin

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