Relevant bibliographies by topics / Optimization parameters

Contents

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

Academic literature on the topic 'Optimization parameters'

Author: Grafiati
Published: 28 May 2022
Last updated: 30 July 2025

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Journal articles on the topic "Optimization parameters"

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Zhang, Qiantu, Liqing Fang, Leilei Ma, and Yulong Zhao. "Research on Parameters Optimization of SVM Based on Improved Fruit Fly Optimization Algorithm." International Journal of Computer Theory and Engineering 8, no. 6 (2016): 500–505. http://dx.doi.org/10.7763/ijcte.2016.v8.1096.

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Khare, Manu, and Deepak Kumar Deepak Kumar. "Optimization of Sand Casting Parameters using Factorial Design." International Journal of Scientific Research 3, no. 1 (2012): 151–53. http://dx.doi.org/10.15373/22778179/jan2014/49.

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Marko, Hrelja, Klancnik Simon, Irgolic Tomaz, Paulic Matej, Balic Joze, and Brezocnik Miran. "Turning Parameters Optimization Using Particle Swarm Optimization." Procedia Engineering 69 (2014): 670–77. http://dx.doi.org/10.1016/j.proeng.2014.03.041.

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Дьяков, Иван, and Ivan D'yakov. "OPTIMIZATION OF TIRE PARAMETERS." Bulletin of Bryansk state technical university 2018, no. 9 (2018): 33–38. http://dx.doi.org/10.30987/article_5bd17b4722c1f0.54739329.

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Aly, Nael A. "Optimization of testability parameters." Computers & Industrial Engineering 17, no. 1-4 (1989): 333–39. http://dx.doi.org/10.1016/0360-8352(89)90084-3.

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Rajeanderan Revichandran, Jaffar Syed Mohamed Ali, Moumen Idres, and A. K. M. Mohiuddin. "A Review of HVAC System Optimization and Its Effects on Saving Total Energy Utilization of a Building." Journal of Advanced Research in Fluid Mechanics and Thermal Sciences 93, no. 1 (2022): 64–82. http://dx.doi.org/10.37934/arfmts.93.1.6482.

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The paper illustrates the review on the optimizations studies of HVAC systems based on three main methods – HVAC operational variables optimization, optimization of control parameters in HVAC system and parameter optimization in building models. For the HVAC system’s operational variables, the optimization process is based on the common and prescient energy utilization models. Thus, by comparing both, the non-common HVAC system models can get better output of energy reduction. Based on most of the studies, the occupancies thermal comfort requirements, are represented by the indoor air quality
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Abd El-Hamid, Ahmed S., Ahmed H. Eissa, and ALy M. Radwan. "Levenberg – Marquardt’s Algorithm used for PID Controller Parameters Optimization." International Journal of Engineering Research 4, no. 6 (2015): 286–90. http://dx.doi.org/10.17950/ijer/v4s6/603.

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S, Rajesh A., and Dr M. S. Prabuswamy. "An Overview of PSO in Optimization of Machining Parameters." International Journal of Trend in Scientific Research and Development Volume-2, Issue-2 (2018): 150–57. http://dx.doi.org/10.31142/ijtsrd8383.

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Minglin, Chen, Lv Enli, and Gan Ling. "Experimental Optimization Of Litchi Spray Pre-Cooling Process Parameters." American Journal of Engineering And Techonology 02, no. 08 (2020): 45–52. http://dx.doi.org/10.37547/tajet/volume02issue08-06.

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Kumar, Ramesh, Ashwani Kumar, Laxmikant Laxmikant, Nitesh Dutt, and Varun Pratap Singh. "Cutting Parameters Optimization in Turning Operation using Taguschi Method." International Journal of Materials Manufacturing and Sustainable Technologies 1, no. 2 (2022): 22–30. http://dx.doi.org/10.56896/ijmmst.2022.1.2.009.

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The objective of this study is to optimise the cutting parameters in Turning Operation. For this objective Taguchi Method was used. S/N ratio, ANNOVA was used to investigate the cutting force components & Material removal rate (MRR). In results optimal cutting parameters were obtained and the factors affecting cutting performance were analysed. It was concluded that cutting parameters i.e. depth of cut has influence on cutting force and material removal rate.
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Dissertations / Theses on the topic "Optimization parameters"

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Markgren, Hanna. "Fatigue analysis - system parameters optimization." Thesis, Umeå universitet, Institutionen för fysik, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-151755.

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For a mechanical system exposed to repeated cyclic loads fatigue is one of the most common reasons for the system to fail. However fatigue failure calculations are not that well developed. Often when fatigue calculations are made they are done with standard loads and simplified cases. The fatigue life is the time from start of use until the system fails due to fatigue and there does exist some building blocks to calculate the fatigue life. The aim for this project was to put these building blocks together in a workflow that ca be used for calculations of the fatigue life. The workflow was buil
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Samek, Michal. "Optimization of Aircraft Tracker Parameters." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2015. http://www.nusl.cz/ntk/nusl-234937.

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Diplomová práce se zabývá optimalizací systému pro sledování letadel, využívaného pro řízení letového provozu. Je popsána metodika vyhodnocování přesnosti sledovacího systému a přehled relevantních algoritmů pro sledování objektů. Dále jsou navrženy tři přístupy k řešení problému. První se pokouší identifikovat parametry filtrovacích algoritmů pomocí algoritmu Expectation-Maximisation, implementací metody maximální věrohodnosti. Druhý přístup je založen na prostých odhadech parametrů normálního rozložení z naměřených a referenčních dat. Nakonec je zkoumána možnost řešení pomocí optimalizačního
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Johansson, Christopher. "Optimization of wall parameters using CFD." Thesis, KTH, Aerodynamik, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-159875.

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Computational Fluid Dynamics (CFD) is commonly used to calculate the pressure drop in systems with internal ow. To get accurate results the physics of the ow must be well dened together with the right material parameters of the considered geometry. The mate- rial parameter considered in this report is the wall roughness, or sand-grain roughness, and during the thesis work it has been investigated how dierent wall roughnesses aects the pressure drop. It has also been investigated how to set up a CFD simulation to accurately calculate the pressure drop. When setting up a simulation, a good mesh
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Jain, Ruchi V. "Optimization of energy parameters in buildings." Thesis, Massachusetts Institute of Technology, 2007. http://hdl.handle.net/1721.1/40445.

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Thesis (S.B.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2007.<br>Includes bibliographical references (p. 34).<br>When designing buildings, energy analysis is typically done after construction has been completed, but making the design decisions while keeping energy efficiency in mind, is one way to make energy-efficient buildings. The conscious design of building parameters could decrease or completely eliminate the need for Heating, Ventilation and Air Conditioning systems, and thus, optimizing building parameters could help conserve a great amount of energy. Thi
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Weitzel, T. Timothy. "Optimization of sweet sorghum processing parameters." Thesis, Virginia Polytechnic Institute and State University, 1987. http://hdl.handle.net/10919/80180.

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Production of fuel ethanol from renewable biomass sources has gained popularity in recent years. Sweet sorghum is one of the crops identified as an efficient producer of the sugars needed for ethanol production. The juice in the sweet sorghum pith contains the greatest proportion of nonstructural carbohydrates, the presumed fermentable material. Sugar cane milling procedures have previously been used to extract the juices from the sweet sorghum plant material. The research reported herein relates to a new method of juice extraction expected to provide higher juice expression efficiencies t
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Titova, Polina. "Optimization of statistical parameters of Eberhard inequality." Thesis, Linnéuniversitetet, Institutionen för matematik (MA), 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-39641.

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This work is devoted to mathematical modeling of the parameters of the Eberhard inequality using optimization techniques. One of the main purposes of this study is to consider the more general case when the detectors have different efficiencies. In this paper we consider the optimization of parameters for the Eberhard inequality using coefficient of variation taking into account possible errors in the setup of angles during the experiment.
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Andersson, Axel. "Optimized Tuning of Parameters for HVDC Dynamic Performance Studies." Thesis, Uppsala universitet, Institutionen för informationsteknologi, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-193702.

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HVDC (High Voltage Direct Current) is used all over the world for transmission of electric power due to lower losses compared to traditional HVAC (High Voltage Alternating Current). However, the procedure of converting AC into DC puts great demand on the control system of the converter stations. These control systems need to be tuned properly to give the HVDC system the correct dynamics to handle variations in the network load and other disturbances. In this thesis, it was investigated if optimization algorithms can be used for tuning of the control parameters. Focus was on three parts of the
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Gustavsson, Jonas. "Automated Performance Optimization of GSM/EDGE Network Parameters." Thesis, Linköping University, Linköping University, Communication Systems, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-52565.

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<p>The GSM network technology has been developed and improved during several years which have led to an increased complexity. The complexity results in more network parameters and together with different scenarios and situations they form a complex set of configurations. The definition of the network parameters is generally a manual process using static values during test execution. This practice can be costly, difficult and laborious and as the network complexity continues to increase, this problem will continue to grow.This thesis presents an implementation of an automated performance optimi
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Fu, Stefan Xueyan. "Finding Optimal Jetting Waveform Parameters with Bayesian Optimization." Thesis, KTH, Optimeringslära och systemteori, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-231374.

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Jet printing is a method in surface mount technology (SMT) in which small volumes of solder paste or other electronic materials are applied to printed circuit boards (PCBs). The solder paste is shot onto the boards by a piston powered by a piezoelectric stack. The characteristics of jetted results can be controlled by a number of factors, one of which is the waveform of the piezo actuation voltage signal. While in theory any waveform is possible, in practice, the signal is defined by seven parameters for the specific technology studied here. The optimization problem of finding the optimal para
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Van, Eeden Madel. "Determining appropriate parameters for optimization of biocontrol success." Thesis, University of Pretoria, 2013. http://hdl.handle.net/2263/30784.

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Increased economic and environmental pressures have led to the requirement for a more accurate and safe crop protection method. Although Avogreen® (Bacillus subtilis) offers an environmental friendly alternative to the use of pesticides; few growers have opted for this approach mainly due to uncertainty regarding the success of the biocontrol program. Biocontrol success may be influenced by biological, ecological, scientific, economic, political, social, legal and marketing factors. Investigations showed that delivery of the antagonist to the plant surface was equally effective employin
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Books on the topic "Optimization parameters"

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M, Adelman Howard, Sobieski Jaroslaw, and Langley Research Center, eds. Optimization for minimum sensitivity to uncertain parameters. National Aeronautics and Space Administration, Langley Research Center, 1994.

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M, Plencner Robert, Seidel Jonathan A, and United States. National Aeronautics and Space Administration., eds. Concurrent optimization of airframe and engine design parameters. National Aeronautics and Space Administration, 1992.

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Moayyedian, Mehdi. Intelligent Optimization of Mold Design and Process Parameters in Injection Molding. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-03356-9.

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United States. National Aeronautics and Space Administration., ed. User's manual for an aerodynamic optimization scheme that updates flow variables and design parameters simultaneously. Flow Research, Inc., Applied Mechanics Division, 1989.

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S, Salzar Robert, and United States. National Aeronautics and Space Administration., eds. Optimization of residual stresses in MMC's through the variation of interfacial layer architectures and processing parameters. National Aeronautics and Space Administration, 1996.

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S, Salzar Robert, and United States. National Aeronautics and Space Administration., eds. Optimization of residual stresses in MMC's through the variation of interfacial layer architectures and processing parameters. National Aeronautics and Space Administration, 1996.

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Lerch, F. J. Optimum data weighting and error calibration for estimation of gravitational parameters. National Aeronautics and Space Administration, Goddard Space Flight Center, 1989.

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IUTAM Symposium on Field Analyses for Determination of Material Parameters-- Experimental and Numerical Aspects (2000 Kiruna, Sweden). IUTAM Symposium on Field Analyses for Determination of Material Parameters-- Experimental and Numerical Aspects. Kluwer Academic Publishers, 2003.

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Mischenko, Aleksandr, and Anastasiya Ivanova. Optimization models for managing limited resources in logistics. INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1082948.

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In the proposed monograph, optimization models for managing limited resources in logical systems are considered. Such systems are primarily used by industrial enterprises, transport companies and trade organizations, including those that carry out wholesale activities. As a rule, the efficiency of these objects largely depends on how rational use of limited resources such as: consumer camera business, labor, vehicles, etc. In this paper, various approaches to managing such resources are considered both for deterministic models and for the situation when a number of model parameters are not spe
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Bowers, Charles Emery. An assessment of competing facility location optimization parameters: A case study of the United States Navy, Morale Welfare and Recreation Facilities. Available from National Technical Information Service, 2000.

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Book chapters on the topic "Optimization parameters"

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Zlobec, Sanjo. "Locally Optimal Parameters." In Applied Optimization. Springer US, 2001. http://dx.doi.org/10.1007/978-1-4615-0011-7_8.

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Zlobec, Sanjo. "Globally Optimal Parameters." In Applied Optimization. Springer US, 2001. http://dx.doi.org/10.1007/978-1-4615-0011-7_9.

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Guan, Zhichuan, Tinggen Chen, and Hualin Liao. "Drilling Parameters Optimization." In Theory and Technology of Drilling Engineering. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-9327-7_4.

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Mann, Felix, and Bernard Ries. "Blocking Graph Parameters." In Encyclopedia of Optimization. Springer Nature Switzerland, 2024. https://doi.org/10.1007/978-3-030-54621-2_902-1.

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Gil-Aluja, Jaime. "Estimating economic parameters in investment." In Applied Optimization. Springer Netherlands, 1999. http://dx.doi.org/10.1007/978-94-011-5328-7_11.

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Dombrovskaya, Henrietta, Boris Novikov, and Anna Bailliekova. "What About Configuration Parameters?" In PostgreSQL Query Optimization. Apress, 2024. http://dx.doi.org/10.1007/979-8-8688-0069-6_10.

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Kakandikar, Ganesh M., and Vilas M. Nandedkar. "Process Parameters in Drawing." In Sheet Metal Forming Optimization. CRC Press, 2017. http://dx.doi.org/10.4324/9781315156101-2.

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Constantinescu, Tiberiu. "Determinantal Formulae and Optimization." In Schur Parameters, Factorization and Dilation Problems. Birkhäuser Basel, 1996. http://dx.doi.org/10.1007/978-3-0348-9108-0_8.

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Sciacca, Eva, and Salvatore Spinella. "Reliable Biological Circuit Design Including Uncertain Kinetic Parameters." In Fuzzy Optimization. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-13935-2_21.

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Pardalos, Panos M., Pavel S. Knopov, Stanislav P. Uryasev, and Vitaliy A. Yatsenko. "Optimal Estimation of Signal Parameters Using Bilinear Observations." In Applied Optimization. Springer US, 2001. http://dx.doi.org/10.1007/978-1-4757-6099-6_8.

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Conference papers on the topic "Optimization parameters"

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Vanghi, V., and C. Chevallier. "WCDMA handover parameters optimization." In 2004 IEEE International Conference on Communications (IEEE Cat. No.04CH37577). IEEE, 2004. http://dx.doi.org/10.1109/icc.2004.1313326.

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Tekin, Yasar. "Optimization of LDA parameters." In 2020 28th Signal Processing and Communications Applications Conference (SIU). IEEE, 2020. http://dx.doi.org/10.1109/siu49456.2020.9302034.

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Loderer, Marek, and Jarmila Pavlovicova. "Optimization of LBP parameters." In 2014 56th International Symposium ELMAR. IEEE, 2014. http://dx.doi.org/10.1109/elmar.2014.6923329.

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Kryuchkov, A. V., and A. I. Grishin. "Optimization parameters of ceilometer." In XXI International Symposium Atmospheric and Ocean Optics. Atmospheric Physics, edited by Oleg A. Romanovskii. SPIE, 2015. http://dx.doi.org/10.1117/12.2205996.

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Alsayyed, Basel, and Frederick O. Malm. "Waterjet Process Parameters Optimization." In ASME 2023 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2023. http://dx.doi.org/10.1115/imece2023-115307.

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Abstract Abrasive Water Jet Machining (AWJM) is a non-conventional machining process widely used in modern manufacturing industries due to its versatile cutting capabilities. The optimal performance of AWJM depends on the appropriate selection of process input parameters, which include water pressure, abrasive mass flow rate, material thickness, and cutting feed. However, the impact of material thickness variation on the AWJM process has been overlooked in previous research studies. To address this research gap, this study aims to investigate the effect of material thickness variation on the p
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Bashashati, Hossein, Rabab K. Ward, and Ali Bashashati. "Bayesian optimization of BCI parameters." In 2016 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE). IEEE, 2016. http://dx.doi.org/10.1109/ccece.2016.7726801.

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Libao An and Mingyuan Chen. "On Optimization of Machining Parameters." In 4th International Conference on Control and Automation. Final Program and Book of Abstracts. IEEE, 2003. http://dx.doi.org/10.1109/icca.2003.1595141.

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Bengio, Y. "Continuous optimization of hyper-parameters." In Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks. IJCNN 2000. Neural Computing: New Challenges and Perspectives for the New Millennium. IEEE, 2000. http://dx.doi.org/10.1109/ijcnn.2000.857853.

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Seabra, A., Theodore E. Simos, George Psihoyios, and Ch Tsitouras. "Optimization of Mechanical Systems Parameters." In ICNAAM 2010: International Conference of Numerical Analysis and Applied Mathematics 2010. AIP, 2010. http://dx.doi.org/10.1063/1.3498508.

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Tawdross, Peter, and Andreas Konig. "Local Parameters Particle Swarm Optimization." In 2006 Sixth International Conference on Hybrid Intelligent Systems (HIS'06). IEEE, 2006. http://dx.doi.org/10.1109/his.2006.264935.

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Reports on the topic "Optimization parameters"

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Emanuel, Kerry A. Variational Optimization of Sub-Grid Scale Convection Parameters. Office of Scientific and Technical Information (OSTI), 1997. http://dx.doi.org/10.2172/760094.

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Thompson, Kathleen A. Optimization of NLC machine parameters for specific physics processes. Office of Scientific and Technical Information (OSTI), 1999. http://dx.doi.org/10.2172/15065.

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Sittaramane, Azhagapattar, and Govindarajan Mahendran. Optimization of Diffusion Bonding Parameters of Dissimilar Aluminium Matrix Composites. "Prof. Marin Drinov" Publishing House of Bulgarian Academy of Sciences, 2019. http://dx.doi.org/10.7546/crabs.2019.04.11.

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Zivkovic-Rothman, M. Variational optimization of sub-grid scale convection parameters. Final report. Office of Scientific and Technical Information (OSTI), 1997. http://dx.doi.org/10.2172/663533.

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Green, D. Optimization of CMS HCAL parameters using hanging file test data. Office of Scientific and Technical Information (OSTI), 1994. http://dx.doi.org/10.2172/10169953.

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Ng, Melissa R., Bryan Moran, Logan Bekker, and Nikola Dudukovic. Large Area Projection Microstereolithography: Characterization and Optimization of 3D Printing Parameters. Office of Scientific and Technical Information (OSTI), 2016. http://dx.doi.org/10.2172/1305839.

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Hamrick, Todd. Optimization of Operating Parameters for Minimum Mechanical Specific Energy in Drilling. Office of Scientific and Technical Information (OSTI), 2011. http://dx.doi.org/10.2172/1060223.

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Ovalle, Samuel, E. Viamontes, and Tony Thomas. Optimization of DLP 3D Printed Ceramic Parts. Florida International University, 2021. http://dx.doi.org/10.25148/mmeurs.009776.

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Digital Light Processing (DLP) 3D printing allows for the creation of parts with advanced engineering materials and geometries difficult to produce through conventional manufacturing techniques. Photosensitive resin monomers are activated with a UV-producing LCD screen to polymerize, layer by layer, forming the desired part. With the right mixture of photosensitive resin and advanced engineering powder material, useful engineering-grade parts can be produced. The Bison 1000 is a research-grade DLP printer that permits the user to change many parameters, in order to discover an optimal method f
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Desjardins. L52204 Framework for the Optimization of Inspection Intervals. Pipeline Research Council International, Inc. (PRCI), 2004. http://dx.doi.org/10.55274/r0011352.

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The goal of this project is to develop a methodology to find the optimal inspection timing of pipelines carrying hazardous materials. The four principle parameters affecting the need for inspection are: - Anomaly severity - Deterioration rate Limit state - Consequences of failure In addition to these parameters, considered in this research, uncertainty needs to be understood and accounted for. Knowledge of each of the above parameters is limited by various factors. Morrison has chosen to approach this uncertainty with a probabilistic method that leads to a risk and reliability solution. As app
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Fink, Bruce K., Roopesh Mathur, and Suresh G. Advani. On the Application of Genetic Algorithms for Optimization of RTM Process Parameters. Defense Technical Information Center, 2000. http://dx.doi.org/10.21236/ada383812.

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