Relevant bibliographies by topics / Modelling and optimization

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Modelling and optimization'

Author: Grafiati
Published: 4 June 2021
Last updated: 27 July 2025

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Journal articles on the topic "Modelling and optimization"

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RAHOU .M, RAHOU M., and SEBAA F. SEBAA .F. "Modelling and Optimization of the Cutting Tool Trajectory." International Journal of Scientific Research 2, no. 11 (2012): 182–84. http://dx.doi.org/10.15373/22778179/nov2013/58.

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Klimczyk, Witold Artur, and Zdobyslaw Jan Goraj. "Robust design and optimization of UAV empennage." Aircraft Engineering and Aerospace Technology 89, no. 4 (2017): 609–19. http://dx.doi.org/10.1108/aeat-11-2016-0221.

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Purpose This paper aims to address the issue of designing aerodynamically robust empennage. Aircraft design optimization often narrowed to analysis of cruise conditions does not take into account other flight phases (manoeuvres). These, especially in unmanned air vehicle sector, can be significant part of the whole flight. Empennage is a part of the aircraft, with crucial function for manoeuvres. It is important to consider robustness for highest performance. Design/methodology/approach Methodology for robust wing design is presented. Surrogate modelling using kriging is used to reduce the opt
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Bansal, Manoj. "Optimization Modelling for Renewable Energy Resources based Distribution Generation." Revista Gestão Inovação e Tecnologias 11, no. 3 (2021): 1510–19. http://dx.doi.org/10.47059/revistageintec.v11i3.2027.

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Maminov, Artem D., and Mikhail A. Posypkin. "Parallel robots modelling and optimization." Journal of Physics: Conference Series 1740 (January 2021): 012067. http://dx.doi.org/10.1088/1742-6596/1740/1/012067.

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Porsinger, Tobias, Przemyslaw Janik, Zbigniew Leonowicz, and Radomir Gono. "Modelling and Optimization in Microgrids." Energies 10, no. 4 (2017): 523. http://dx.doi.org/10.3390/en10040523.

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Veres, Sandor M. "Exploratory modelling for controller optimization." IFAC Proceedings Volumes 36, no. 16 (2003): 15–20. http://dx.doi.org/10.1016/s1474-6670(17)34731-6.

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Gobi, A. F., and W. Pedrycz. "Fuzzy modelling through logic optimization." International Journal of Approximate Reasoning 45, no. 3 (2007): 488–510. http://dx.doi.org/10.1016/j.ijar.2006.06.026.

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Spalatelu-Lazar, Mirela, Françoise Léné, and Nicole Turbé. "Modelling and optimization of sails." Computers & Structures 86, no. 13-14 (2008): 1486–93. http://dx.doi.org/10.1016/j.compstruc.2007.05.028.

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Mitra, Gautam. "Introduction: Optimization and Risk Modelling." Computational Optimization and Applications 32, no. 1-2 (2005): 5–8. http://dx.doi.org/10.1007/s10589-005-2051-x.

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Viswanathan, Shekar, N. V. Ananthanarayanan, and Barry J. Azzopardi. "Venturi Scrubber Modelling and Optimization." Canadian Journal of Chemical Engineering 83, no. 2 (2008): 194–203. http://dx.doi.org/10.1002/cjce.5450830206.

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Dissertations / Theses on the topic "Modelling and optimization"

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Angulo, Ignacio. "Harvester Energy Modelling and Optimization." Thesis, KTH, Maskinkonstruktion (Inst.), 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-192131.

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Denna rapport är resultatet av ett examensarbete på Kungliga Tekniska Högskolan i samarbete med Skogforsk. Syftet är att analysera den trädkapningsprocessen hos en skördare, optimera dess energiförbrukning och föreslå modifieringar av systemet. En analys av skördarhuvudets energiförbrukning genomfördes baserat på testdata från Skogforsk. Denna undersökning gav en inblick i prestandan hos hydraulmotorn Parker F11-19 vid kapnng av träd med varierande diameter, samt en kvantifiering av mängden energi som används av skördarhuvudets olika komponenter. Hydrauliska och mekaniska modeller av skördarhu
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D'Arienzo, Maria Pia. "Cardiovascular System: Modelling and Optimization." Doctoral thesis, Universita degli studi di Salerno, 2016. http://hdl.handle.net/10556/2224.

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2014 - 2015<br>A conservation law is a partial di_erential equation, in which the variable is a quantity which remains constant in time, that is it cannot be created and destroyed. Thanks to the conservation laws it is possible to de_ne models able to describe real systems in which something is stored. Fluid dynamic models, which are based on them, have a wide range of applications, because they can be used to describe blood ows, tra_c evolution on street networks of big cities or on motorways of big states, data ows on telecommunication networks, ows of goods on supply chains, electric networ
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Filippini, Mattia. "Magnetic gears numerical modelling and optimization." Doctoral thesis, Università degli studi di Padova, 2019. http://hdl.handle.net/11577/3425766.

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The main focus of this thesis is to provide efficient modelling and optimization strategies for a certain electro-magnetic device known as magnetic gear. In particular, magnetic, thermal and mechanical models are discussed and the non-linear material models are examined, including permanent magnets demagnetization algorithms and hysteresis models in laminated sheets. From the magnetic modelling point of view, an analytic approach for the initial simplified gear design is presented. A special focus is given to the computational burden of the method that is especially tailored for stochastic opt
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Granados, Fernández Víctor Hugo. "Modelling and optimization of flexible manufacturing systems." Master's thesis, Instituto Politécnico de Bragança, Escola Superior de Tecnologia e Gestão, 2012. http://hdl.handle.net/10198/7982.

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The Lagrangian relaxation method for solving a Mixed-Integer Linear Problem was implemented in order to improve the current TEMPO-PSI team exible manufacturing system solutions, available at the AIP-primeca pole in University of Valenciennes, France. The MILP optimization model, from TEMPO-PSI team, can not guarantee good results when the amount of jobs in the manufacturing system increases due to the growth in the number of variables of the model. A study on the optimization model was conducted with the objective to nd the candidate constraints for Lagrangian relaxation. A comparativ
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Olszacki, Michal. "Modelling and optimization of piezoresistive pressure sensors." Toulouse, INSA, 2009. http://eprint.insa-toulouse.fr/archive/00000297/.

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Depuis 1954, où l’effet piézorésistif a été découvert dans Silicium, la démarche pour mesurer la pression a changé et de nouveaux dispositifs avec des performances remarquables sont apparus sur le marché. Grâce au développement des microtechnologies, une nouvelle famille de capteurs de pression piézorésistifs miniatures s’est ainsi progressivement imposée pour de nombreuses applications. Même si le principe de fonctionnement des capteurs de pression piézorésistif en silicium reste le même depuis de nombreuses années, l’optimisation des capteurs pour une application donnée reste toujours une ét
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Panos, Christos. "Modelling, optimization and control of energy systems." Thesis, Imperial College London, 2012. http://hdl.handle.net/10044/1/9511.

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Multi-parametric programming is a mathematical theory to address optimization problems involving varying parameters. This thesis is concerned with the development of model-based controllers via parametric programming and their application to the design, operation and control of process systems. In part I of this thesis two new algorithms are presented for solving parametric optimization problem of linear state space models via dynamic programming. The first algorithm solves the nominal case, while the second introduce the case of uncertainty in the system matrices. Moreover, an algorithm for r
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Liu, Pei. "Modelling and optimization of polygeneration energy systems." Thesis, Imperial College London, 2009. http://hdl.handle.net/10044/1/5530.

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Ever-increasing energy consumption and consequent extensive greenhouse gas (GHG) emissions are two major urgent problems faced by all human beings in the 21st century. As a major contributor, the energy production section appears to be the most suitable field where further improvements could be explored to tackle these problems. Polygeneration is a typical type of next generation energy production technology with higher energy efficiency and lower/zero GHG emissions. However, methodologies guiding an efficient and stable transition from our existing energy systems to more advanced ones are sti
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sohier, emmanuel. "Modelling a Complex Production Scheduling Problem : Optimization Techniques." Thesis, Blekinge Tekniska Högskola, Avdelningen för för interaktion och systemdesign, 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-2929.

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In this thesis, and complex real world problem, a sequence dependent scheduling of different product orders on a number of lines is addressed. Changeover costs occur between product orders belonging to different product groups. The operational research cycle is employed exploring different optimization techniques as mathematical modelling and heuristic approaches. The identification, implementation and demonstration of the techniques are supported with numerical results from experiments. One combination of different solution techniques is put forward. Some suggestions are done for reducing cos
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Sienz, J. "Integrated structural modelling, adaptive analysis and shape optimization." Thesis, Swansea University, 1994. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.639033.

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The present work is concerned with the development of procedures for an integrated system for computer aided structural optimization including topology optimization, image processing and shape optimization for two dimensional structures. At the beginning, such a system is introduced. This system integrates aspects of design and analysis modelling, behaviour sensitivity analysis, optimization and creative control via interactive graphics. A satisfactory solution of structural optimization problems can only be achieved by having a profound knowledge of each of these aspects. The introduction of
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Talukder, Satyobroto. "Mathematicle Modelling and Applications of Particle Swarm Optimization." Thesis, Blekinge Tekniska Högskola, Sektionen för ingenjörsvetenskap, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-2671.

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Optimization is a mathematical technique that concerns the finding of maxima or minima of functions in some feasible region. There is no business or industry which is not involved in solving optimization problems. A variety of optimization techniques compete for the best solution. Particle Swarm Optimization (PSO) is a relatively new, modern, and powerful method of optimization that has been empirically shown to perform well on many of these optimization problems. It is widely used to find the global optimum solution in a complex search space. This thesis aims at providing a review and discuss
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Books on the topic "Modelling and optimization"

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Polis, Michael P., Asen L. Dontchev, Peter Kall, Irena Lasiecka, and Andrzej W. Olbrot. Systems modelling and optimization. Routledge, 2022. http://dx.doi.org/10.1201/9780203737422.

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Cominetti, Roberto, Francisco Facchinei, and Jean B. Lasserre. Modern Optimization Modelling Techniques. Springer Basel, 2012. http://dx.doi.org/10.1007/978-3-0348-0291-8.

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Davisson, L. D., A. G. J. MacFarlane, H. Kwakernaak, et al., eds. System Modelling and Optimization. Springer Berlin Heidelberg, 1992. http://dx.doi.org/10.1007/bfb0113266.

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Iri, Masao, and Keiji Yajima, eds. System Modelling and Optimization. Springer Berlin Heidelberg, 1988. http://dx.doi.org/10.1007/bfb0042768.

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Prékopa, A., J. Szelezsáan, and B. Strazicky, eds. System Modelling and Optimization. Springer Berlin Heidelberg, 1986. http://dx.doi.org/10.1007/bfb0043817.

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Sebastian, H. J., and K. Tammer, eds. System Modelling and Optimization. Springer Berlin Heidelberg, 1990. http://dx.doi.org/10.1007/bfb0008351.

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Henry, Jacques, and Jean-Pierre Yvon, eds. System Modelling and Optimization. Springer Berlin Heidelberg, 1994. http://dx.doi.org/10.1007/bfb0035455.

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Doležal, Jaroslav, and Jiří Fidler, eds. System Modelling and Optimization. Springer US, 1996. http://dx.doi.org/10.1007/978-0-387-34897-1.

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Powell, M. J. D., and S. Scholtes, eds. System Modelling and Optimization. Springer US, 2000. http://dx.doi.org/10.1007/978-0-387-35514-6.

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Francisco, Facchinei, Lasserre Jean B, and SpringerLink (Online service), eds. Modern Optimization Modelling Techniques. Springer Basel, 2012.

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Book chapters on the topic "Modelling and optimization"

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Birta, Louis G., and Gilbert Arbez. "Optimization." In Modelling and Simulation. Springer London, 2013. http://dx.doi.org/10.1007/978-1-4471-2783-3_10.

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Cavazzuti, Marco. "Response Surface Modelling." In Optimization Methods. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-31187-1_3.

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Birta, Louis G., and Gilbert Arbez. "Optimization Overview." In Modelling and Simulation. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-18869-6_10.

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Gupta, Kapil, and Neelesh Kumar Jain. "Modelling and Optimization." In Near-Net Shape Manufacturing of Miniature Spur Gears by Wire Spark Erosion Machining. Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-1563-2_5.

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Schmelovsky, Karl-HeinzSchmelovsky. "Modelling and Optimization." In Advances in Simulation. Springer US, 1988. http://dx.doi.org/10.1007/978-1-4684-6389-7_14.

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Coyle, R. G. "Optimization in practice." In System Dynamics Modelling. Springer US, 1996. http://dx.doi.org/10.1007/978-1-4899-2935-8_9.

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Khoury, Richard, and Douglas Wilhelm Harder. "Optimization." In Numerical Methods and Modelling for Engineering. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-21176-3_9.

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Ghafil, Hazim Nasir, and Károly Jármai. "Optimization." In Optimization for Robot Modelling with MATLAB. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-40410-9_2.

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Coyle, R. G. "Optimization in system dynamics." In System Dynamics Modelling. Springer US, 1996. http://dx.doi.org/10.1007/978-1-4899-2935-8_8.

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O’Connell, M., P. Haaland, S. Hardy, and D. Nychka. "Nonparametric Regression, Kriging and Process Optimization." In Statistical Modelling. Springer New York, 1995. http://dx.doi.org/10.1007/978-1-4612-0789-4_26.

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Conference papers on the topic "Modelling and optimization"

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Wu, D., M. Ogawa, Y. Yeh, and H. Ogai. "Engine Control Input Optimization using Particle Swarm Optimization and Multi-Objective Particle Swarm Optimization." In Modelling, Identification, and Control. ACTAPRESS, 2010. http://dx.doi.org/10.2316/p.2010.675-093.

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Davendra, D. D., I. Zelinka, and G. C. Onwubolu. "Chaotic Optimization." In 21st Conference on Modelling and Simulation. ECMS, 2007. http://dx.doi.org/10.7148/2007-0339.

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Biegler-König, Friedrich. "Biomimetic Methods for Power Plant Optimization." In Applied Simulation and Modelling. ACTAPRESS, 2012. http://dx.doi.org/10.2316/p.2012.776-011.

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Novak, Jakub, Petr Chalupa, and Vladimir Bobal. "Structure Optimization for Multiple Model Control." In Applied Simulation and Modelling. ACTAPRESS, 2011. http://dx.doi.org/10.2316/p.2011.715-085.

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Fagerstrom, Sven E., and Nagy N. Bengiamin. "Buck/Boost Converter Modeling and Simulation for Performance Optimization." In Modelling and Simulation. ACTAPRESS, 2011. http://dx.doi.org/10.2316/p.2011.735-079.

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Riismaa, Tiit. "Optimization of Multi-Level Selection Procedure and Applications in Optimization the Structure of Parallel and Distributed Systems." In Applied Simulation and Modelling. ACTAPRESS, 2011. http://dx.doi.org/10.2316/p.2011.715-072.

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Silva, M. F., R. S. Barbosa, and J. A. Tenreiro Machado. "Optimization of Hexapod Locomotion using Genetic Algorithms." In Modelling, Identification, and Control. ACTAPRESS, 2010. http://dx.doi.org/10.2316/p.2010.675-109.

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Lan, Guo-xing, and Feng Ye. "Research on System of Systems Simulation Optimization." In Applied Simulation and Modelling. ACTAPRESS, 2011. http://dx.doi.org/10.2316/p.2011.715-070.

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Lam, W. H., Saiful Hafizah Hj. Jaaman, and Zaidi Isa. "Risk modelling in portfolio optimization." In INTERNATIONAL CONFERENCE ON MATHEMATICAL SCIENCES AND STATISTICS 2013 (ICMSS2013): Proceedings of the International Conference on Mathematical Sciences and Statistics 2013. AIP, 2013. http://dx.doi.org/10.1063/1.4823957.

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Soleimani, Mansooreh, Shahriar Lotfi, and Amirhossein Ghodrati. "A Hybrid CS/DE Algorithm for Global Optimization." In Modelling, Identification and Control. ACTAPRESS, 2012. http://dx.doi.org/10.2316/p.2012.770-034.

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Reports on the topic "Modelling and optimization"

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Raji, David. Applied Multi-Objective Modelling & Optimization. Office of Scientific and Technical Information (OSTI), 2022. http://dx.doi.org/10.2172/1888185.

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Ho, Yu-Chi, and Wei-Bo Gong. Discrete Event Dynamic Systems Modelling and Optimization with Applications to C3I Problems. Defense Technical Information Center, 1995. http://dx.doi.org/10.21236/ada300786.

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Ansari, M. Development of numerical modelling and inversion (optimization) algorithms for geophysical electromagnetic (EM) data. Natural Resources Canada/CMSS/Information Management, 2021. http://dx.doi.org/10.4095/329099.

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Sanz, Asier`. Numerical simulation tools for PVT collectors and systems. IEA SHC Task 60, 2020. http://dx.doi.org/10.18777/ieashc-task60-2020-0006.

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The computer-based experimentation covers almost the entire activity chain of the PVT sector. The PVT community carries out very different kind of modelling and simulation labours in order to answer to very diverse needs, such as proof-of-concepts, research, design, sizing, controlling, optimization, validation, marketing, sales, O&amp;M, etc.
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Oladejo, Hafeez, Diana Bernstein, M. Cambazoglu, Dmitri Nechaev, Ali Abdolali, and Jerry Wiggert. Wind Forcing, Source Term and Grid Optimization for Hurricane Wave Modelling in the Gulf of Mexico. Engineer Research and Development Center (U.S.), 2025. https://doi.org/10.21079/11681/49783.

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This study evaluates the performance of WAVEWATCH III model driven by different wind forcing products and behavior of different parameterizations of the model’s source terms controlling energy input and dissipation and quadruplet wave-wave interactions during Hurricane Ida. We also compare the performance of the model configured on uniform unstructured and conventional non-uniform unstructured grids. Key findings show ECMWF-forecast and HRRR out-performed other products in capturing wind speeds relative to buoys, satellite and the revised Atlantic hurricane database observations. However, all
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Li, Q., J. Shimeld, K. Dickie, S. A. Dehler, D. Mosher, and K. Desroches. Seismic velocity modelling, fixed point optimization, and evaluation of positioning uncertainty in the central Labrador Sea region: methods, a software tool, and an application. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2015. http://dx.doi.org/10.4095/295859.

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Hermelink, Marleen I., and Huib Hengsdijk. Modelling food system trade-offs in rural East Africa:a case study of Arua, Uganda : technical report of the development of a linear programming multi-objective optimization model for the case study of Arua, Uganda. Wageningen Plant Research, 2024. https://doi.org/10.18174/683518.

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An Input Linearized Powertrain Model for the Optimal Control of Hybrid Electric Vehicles. SAE International, 2022. http://dx.doi.org/10.4271/2022-01-0741.

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Models of hybrid powertrains are used to establish the best combination of conventional engine power and electric motor power for the current driving situation. The model is characteristic for having two control inputs and one output constraint: the total torque should be equal to the torque requested by the driver. To eliminate the constraint, several alternative formulations are used, considering engine power or motor power or even the ratio between them as a single control input. From this input and the constraint, both power levels can be deduced. There are different popular choices for th
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