Academic literature on the topic 'Multiparametric optimization'

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Journal articles on the topic "Multiparametric optimization"

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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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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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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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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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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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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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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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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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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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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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Dissertations / Theses on the topic "Multiparametric optimization"

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Nascu, Ioana. "Advanced multiparametric optimization and control studies for anaesthesia." Thesis, Imperial College London, 2016. http://hdl.handle.net/10044/1/34913.

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Anaesthesia is a reversible pharmacological state of the patient where hypnosis, analgesia and muscle relaxation are guaranteed and maintained throughout the surgery. Analgesics block the sensation of pain; hypnotics produce unconsciousness, while muscle relaxants prevent unwanted movement of muscle tone. Controlling the depth of anaesthesia is a very challenging task, as one has to deal with nonlinearity, inter- and intra-patient variability, multivariable characteristics, variable time delays, dynamics dependent on the hypnotic agent, model analysis variability, agent and stability issues. T
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Lazaravičius, Saulius. "Telekomunikacijų prieigos tinklo optimizavimo uždavinių analizė ir realizacija." Master's thesis, Lithuanian Academic Libraries Network (LABT), 2007. http://vddb.library.lt/obj/LT-eLABa-0001:E.02~2007~D_20070816_144224-78186.

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Darbo tikslas – sukurti bendrą prieigos tinklo modeliavimo metodiką bei jos programinę realizaciją, atitinkančią šiuos reikalavimus: • n užduotų prieigos tinklo parametrų reikšmių optimalus nustatymas pagal m užduotų prieigos tinklo kokybės apribojimų, kai n ≥ 1, o m ≥ 0; • optimalus stočių koordinačių nustatymas mobiliojo telefono ryšio tinklui; • optimalus stočių koordinačių nustatymas laidinio telefono ryšio tinklui; Darbo pradžioje apžvelgiamos telekomunikacijų sektoriaus užduotys, kurios gali būti sprendžiamos kombinatorinio optimizavimo metodais. Taipogi pristatomi ir
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Books on the topic "Multiparametric optimization"

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Burnak, Baris, Nikolaos A. Diangelakis, and Efstratios N. Pistikopoulos. Integrated Process Design and Operational Optimization via Multiparametric Programming. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-031-02089-6.

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Diangelakis, Nikolaos A., Baris Burnak, and Efstratios N. Pistikopoulos. Integrated Process Design and Operational Optimization Via Multiparametric Programming. Morgan & Claypool Publishers, 2020.

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Diangelakis, Nikolaos A., Baris Burnak, and Efstratios N. Pistikopoulos. Integrated Process Design and Operational Optimization Via Multiparametric Programming. Morgan & Claypool Publishers, 2020.

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Diangelakis, Nikolaos A., Baris Burnak, and Efstratios N. Pistikopoulos. Integrated Process Design and Operational Optimization Via Multiparametric Programming. Morgan & Claypool Publishers, 2020.

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Diangelakis, Nikolaos A., Baris Burnak, and Efstratios N. Pistikopoulos. Integrated Process Design and Operational Optimization Via Multiparametric Programming. Springer International Publishing AG, 2020.

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Adelgren, Nathan. Advancing Parametric Optimization: On Multiparametric Linear Complementarity Problems with Parameters in General Locations. Springer International Publishing AG, 2021.

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Book chapters on the topic "Multiparametric optimization"

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Kenefake, Dustin, Iosif Pappas, Nikolaos A. Diangelakis, Styliani Avraamidou, Richard Oberdieck, and Efstratios N. Pistikopoulos. "Multiparametric Mixed-Integer Linear and Quadratic Programming." In Encyclopedia of Optimization. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-030-54621-2_754-1.

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Shokry, Ahmed, and Antonio Espuña. "Optimization Under Uncertainty Based on Multiparametric Kriging Metamodels." In Operations Research Proceedings. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-42902-1_78.

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Burnak, Baris, Nikolaos A. Diangelakis, and Efstratios N. Pistikopoulos. "PAROC: PARametric Optimization and Control Framework." In Integrated Process Design and Operational Optimization via Multiparametric Programming. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-031-02089-6_3.

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Burnak, Baris, Nikolaos A. Diangelakis, and Efstratios N. Pistikopoulos. "An Introduction to the Grand Unification of Process Design and Operational Optimization." In Integrated Process Design and Operational Optimization via Multiparametric Programming. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-031-02089-6_1.

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Katz, Justin, Nikolaos A. Diangelakis, and Efstratios N. Pistikopoulos. "Model Approximation in Multiparametric Optimization and Control – A Computational Study." In 13th International Symposium on Process Systems Engineering (PSE 2018). Elsevier, 2018. http://dx.doi.org/10.1016/b978-0-444-64241-7.50104-x.

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Hadera, Hubert, Rachid Labrik, Juha Mäntysaari, Guido Sand, Iiro Harjunkoski, and Sebastian Engell. "Integration of Energy-cost Optimization and Production Scheduling Using Multiparametric Programming." In Computer Aided Chemical Engineering. Elsevier, 2016. http://dx.doi.org/10.1016/b978-0-444-63428-3.50098-9.

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Shokry, Ahmed, and Antonio Espuña. "Dynamic Optimization of Batch Processes under Uncertainty via Meta-MultiParametric Approach." In Computer Aided Chemical Engineering. Elsevier, 2017. http://dx.doi.org/10.1016/b978-0-444-63965-3.50371-8.

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Macchia, Iole, Floriana Iacobone, and Francesca Urbani. "Optimization and intra-assay validation of a multiparametric flow cytometric test for monitoring circulating TREGs." In Methods in Cell Biology. Elsevier, 2024. http://dx.doi.org/10.1016/bs.mcb.2024.06.005.

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Martynov, Viacheslav, Olga Krivenko, and Vitaliy Zaprivoda. "Multiparametric optimization of the shape and thickness of the insulated constructed energy efficient building with a specified number of faces." In Modern trends in science and practice. Volume 2. GS publishing service, 2022. http://dx.doi.org/10.51587/9781-7364-13364-2022-006-16-20.

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Conference papers on the topic "Multiparametric optimization"

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Meliqyan, Vazgen, David Revazyan, Ashot Harutyuyan, Vachagan Davtyan, and Elen Ghazaryan. "Multiparametric Optimization and Penalty System in Integrated Circuit Component Placement." In 2024 IEEE East-West Design & Test Symposium (EWDTS). IEEE, 2024. https://doi.org/10.1109/ewdts63723.2024.10873782.

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Timoshenko, Alexander, Aleksandr Zakharov, Vitaly Shamanov, and Konstantin Sokolov. "Multiparametric Optimization of the Design Process of a Space Survey Radar Station Based on an Ontological Analysis of the Dependencies of Functional Characteristics on a Variety of Technical Solutions." In 2024 6th International Conference on Control Systems, Mathematical Modeling, Automation and Energy Efficiency (SUMMA). IEEE, 2024. https://doi.org/10.1109/summa64428.2024.10803686.

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Baikov, Andrei, and Olga Baikova. "On Optimization of Multiparametric Systems with Distributed Global Extremum." In 2020 International Conference on Actual Problems of Electron Devices Engineering (APEDE). IEEE, 2020. http://dx.doi.org/10.1109/apede48864.2020.9255517.

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Glatz, Jürgen, Nikolaos C. Deliolanis, Lu Ding, et al. "Multiparametric optimization of multispectral optoacoustic tomography for deep tissue imaging." In BiOS, edited by Alexander A. Oraevsky and Lihong V. Wang. SPIE, 2010. http://dx.doi.org/10.1117/12.842101.

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Merzlikina, E., V. Nesterenko, and A. Repin. "Multiparametric Multiextremal Optimization Algorithm Software Simplex Evolution for MATLAB and Simintech Libraries." In 2021 International Conference on Industrial Engineering, Applications and Manufacturing (ICIEAM). IEEE, 2021. http://dx.doi.org/10.1109/icieam51226.2021.9446341.

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Passucci, C., R. D. Wolicki, F. Morodei, et al. "Novel Smart Multiparametric Sensor For Pipeline Inspection – Eni UK Success Story." In Mediterranean Offshore Conference. SPE, 2024. http://dx.doi.org/10.2118/223331-ms.

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Abstract As of today, pipelines represent the safest and the most reliable transportation solution for hydrocarbons, guaranteeing stable and replicable conditions through its whole length. However, pipeline maintenance represents a relevant cost in flow assurance in order to avoid production losses, assets damages and environmental damage. To avoid it, the detection and the localization of anomalies along the pipelines is fundamental. The integrity assessment of pipelines is expensive, invasive and not always applicable due to the harsh environment typical of pipelines, causing an increasing i
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Ripaccioli, Giulio, Jason B. Siegel, Anna G. Stefanopoulou, and Stefano Di Cairano. "Derivation and Simulation Results of a Hybrid Model Predictive Control for Water Purge Scheduling in a Fuel Cell." In ASME 2009 Dynamic Systems and Control Conference. ASMEDC, 2009. http://dx.doi.org/10.1115/dscc2009-2729.

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This paper illustrates the application of hybrid modeling and model predictive control techniques to the water purge management in a fuel cell with dead-end anode. The anode water flow dynamics are approximated as a two-mode discrete-time switched affine system that describes the propagation of water inside the gas diffusion layer, the spilling into the channel and consequent filling and plugging the channel. Using this dynamical approximation, a hybrid model predictive controller based on on-line mixed-integer quadratic optimization is tuned, and the effectiveness of the approach is shown thr
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Andrade, Richard, Antonio Ferramosca, Julio E. Normey-Rico, and Guilherme V. Raffo. "Explicit Model Predictive Control for a Tiltrotor UAV in Cargo Transportation Tasks." In Congresso Brasileiro de Automática - 2020. sbabra, 2020. http://dx.doi.org/10.48011/asba.v2i1.1643.

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This paper deals with the trajectory tracking problem of a tilt-rotor unmanned aerial vehicle carrying a suspended load. An explicit model predictive control (eMPC) based on multiparametric optimization is used to derive optimal control laws which could be implemented in an embedded system. The eMPC is designed based on the nominal linearized error model of the system, which is obtained around a generic trajectory. The optimal control problem (OCP) is solved taking into account input and state constraints. Additionally, a terminal cost is considered to guarantee stability. Euler-Lagrange formu
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