Relevant bibliographies by topics / Systems Optimization Models

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
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Academic literature on the topic 'Systems Optimization Models'

Author: Grafiati
Published: 4 June 2021
Last updated: 2 February 2022

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Journal articles on the topic "Systems Optimization Models"

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Agrawal, Akshay, Shane Barratt, and Stephen Boyd. "Learning Convex Optimization Models." IEEE/CAA Journal of Automatica Sinica 8, no. 8 (2021): 1355–64. http://dx.doi.org/10.1109/jas.2021.1004075.

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Serpa, Matheus S., Eduardo HM Cruz, Matthias Diener, et al. "Optimization strategies for geophysics models on manycore systems." International Journal of High Performance Computing Applications 33, no. 3 (2019): 473–86. http://dx.doi.org/10.1177/1094342018824150.

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Many software mechanisms for geophysics exploration in oil and gas industries are based on wave propagation simulation. To perform such simulations, state-of-the-art high-performance computing architectures are employed, generating results faster with more accuracy at each generation. The software must evolve to support the new features of each design to keep performance scaling. Furthermore, it is important to understand the impact of each change applied to the software to improve the performance as most as possible. In this article, we propose several optimization strategies for a wave propa
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Gavish. "Optimization Models for Configuring Distributed Computer Systems." IEEE Transactions on Computers C-36, no. 7 (1987): 773–93. http://dx.doi.org/10.1109/tc.1987.1676975.

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Sechi, Giovanni M., and Paola Zuddas. "Multiperiod Hypergraph Models for Water Systems Optimization." Water Resources Management 22, no. 3 (2007): 307–20. http://dx.doi.org/10.1007/s11269-007-9163-2.

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Ke, Jinyun, Mieko Ogura, and William S. Y. Wang. "Optimization Models of Sound Systems Using Genetic Algorithms." Computational Linguistics 29, no. 1 (2003): 1–18. http://dx.doi.org/10.1162/089120103321337412.

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In this study, optimization models using genetic algorithms (GAs) are proposed to study the configuration of vowels and tone systems. As in previous explanatory models that have been used to study vowel systems, certain criteria, which are assumed to be the principles governing the structure of sound systems, are used to predict optimal vowels and tone systems. In most of the earlier studies only one criterion has been considered. When two criteria are considered, they are often combined into one scalar function. The GA model proposed for the study of tone systems uses a Pareto ranking method
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Calvin, James M. "Probability Models in Global Optimization." Informatica 27, no. 2 (2016): 323–34. http://dx.doi.org/10.15388/informatica.2016.87.

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Prevot, M. "Continuous optimization models." European Journal of Operational Research 48, no. 1 (1990): 169. http://dx.doi.org/10.1016/0377-2217(90)90080-u.

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Amyot, Joseph R., and Gerard van Blokland. "Parameter optimization with ACSL models." SIMULATION 49, no. 5 (1987): 213–18. http://dx.doi.org/10.1177/003754978704900505.

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A method whereby a parameter optimization program, written in FORTRAN, can be used in conjunction with ACSL (Advanced Continuous Simulation Language) models of dynamic systems is described. The optimization of a projectile's trajectory is used as an example.
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Zamora, Juan M., and Ignacio E. Grossmann. "Continuous global optimization of structured process systems models." Computers & Chemical Engineering 22, no. 12 (1998): 1749–70. http://dx.doi.org/10.1016/s0098-1354(98)00244-0.

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Keyi, Wang, and Wang Zhongtuo. "Network Models and Optimization of Ecologo-Economic Systems." IFAC Proceedings Volumes 20, no. 9 (1987): 627–31. http://dx.doi.org/10.1016/s1474-6670(17)55778-x.

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Dissertations / Theses on the topic "Systems Optimization Models"

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Cong, Yang, and 丛阳. "Optimization models and computational methods for systems biology." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2012. http://hub.hku.hk/bib/B47752841.

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Systems biology is a comprehensive quantitative analysis of the manner in which all the components of a biological system interact functionally along with time. Mathematical modeling and computational methods are indispensable in such kind of studies, especially for interpreting and predicting the complex interactions among all the components so as to obtain some desirable system properties. System dynamics, system robustness and control method are three crucial properties in systems biology. In this thesis, the above properties are studied in four different biological systems. The ou
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Arumugam, Gnana Shekaran. "ALTERNATE MODELS FOR NATURAL GAS TRANSPORTATION SYSTEM PERFORMANCE OPTIMIZATION." UKnowledge, 2015. http://uknowledge.uky.edu/ms_etds/7.

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The Natural Gas market in the U.S is growing rapidly with evidence that the nation has enough shale reserves to power the country for the next century. To ensure continued economic benefits through the use of this environmentally desired energy source, it becomes important to optimize the transportation network system design. Transportation through pipelines is one of the most common methods used to distribute Natural Gas from source to destination. This transportation system, consisting of pipelines, compressors and other supporting equipment, must be optimized, considering all relevant param
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Ivrlac, Michel [Verfasser]. "Wireless MIMO Systems - Models, Performance, Optimization / Michel Ivrlac." Aachen : Shaker, 2005. http://d-nb.info/1186577002/34.

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Pettersson, Tobias. "Global optimization methods for estimation of descriptive models." Thesis, Linköping University, Department of Electrical Engineering, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-11781.

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<p>Using mathematical models with the purpose to understand and store knowlegde about a system is not a new field in science with early contributions dated back to, e.g., Kepler’s laws of planetary motion.</p><p>The aim is to obtain such a comprehensive predictive and quantitative knowledge about a phenomenon so that mathematical expressions or models can be used to forecast every relevant detail about that phenomenon. Such models can be used for reducing pollutions from car engines; prevent aviation incidents; or developing new therapeutic drugs. Models used to forecast, or predict, the behav
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Pardasani, Ajit Carleton University Dissertation Information and Systems Science. "Network flow optimization models for integrated flexible manufacturing systems." Ottawa, 1989.

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Hu, Cheng Lin. "Design optimization of fuzzy models in system identification." Thesis, University of Macau, 2010. http://umaclib3.umac.mo/record=b2493501.

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Zhao, Ying, and 趙穎. "Optimization of cooperative material handling systems." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2006. http://hub.hku.hk/bib/B37837710.

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Jennings, Mark. "Optimization models for resource planning in urban energy systems." Thesis, Imperial College London, 2013. http://hdl.handle.net/10044/1/24842.

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Resource planning at urban scale has received significant scrutiny in recent years. What has been paid less attention is whether existing tools such as optimization models can play a role in helping with this planning. The reason for the historical lack of interest is argued as due to both insufficient computing capability and practical modelling difficulties. The proposition put forward here is that optimization software can work with large distributed systems associated with urban resources. Resources considered include inter alia capital, employees, and technologies. To help support the con
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Weerasena, Lakmali. "Optimization models for designing spatially compact ecological reserve systems." Connect to this title online, 2009. http://etd.lib.clemson.edu/documents/1253031678/.

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Almohri, Hussain. "High Assurance Models for Secure Systems." Diss., Virginia Tech, 2013. http://hdl.handle.net/10919/22030.

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Despite the recent advances in systems and network security, attacks on large enterprise networks consistently impose serious challenges to maintaining data privacy and software service integrity. We identify two main problems that contribute to increasing the security risk in a networked environment: (i) vulnerable servers, workstations, and mobile devices that suffer from vulnerabilities, which allow the execution of various cyber attacks, and, (ii) poor security and system configurations that create loopholes used by attackers to bypass implemented security defenses.<br /><br />Complex atta
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Books on the topic "Systems Optimization Models"

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Pike, Ralph W. Optimization for engineering systems. Van Nostrand Reinhold, 1986.

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Pike, Ralph W. Optimization for engineering systems. Van Nostrand Reinhold, 1986.

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Fleischer, Henry. Manual of pneumatic systems optimization. McGraw-Hill, 1995.

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Fleischer, Henry. Manual of pneumatic systems optimization. McGraw-Hill, 1995.

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Levin, M. Sh. Application of optimization combinatorial models in computer-aided systems. VNIITEMR (ВНИИЭМР), 1986.

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Le Thi, Hoai An, Hoai Minh Le, and Tao Pham Dinh, eds. Optimization of Complex Systems: Theory, Models, Algorithms and Applications. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-21803-4.

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Optimization for communications and networks. Science Publishers, 2011.

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Kennington, Jeff L. Wireless Network Design: Optimization Models and Solution Procedures. Springer Science+Business Media, LLC, 2011.

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Brundin, Sven. Optimization of manure handling systems under Swedish conditions. Swedish University of Agricultural Sciences, Dept. of Economics, 1994.

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Butenko, Sergiy. Cooperative Control: Models, Applications and Algorithms. Springer US, 2003.

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Book chapters on the topic "Systems Optimization Models"

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Boguslavskiy, Josif A. "Polynomial Approximation and Optimization of Control." In Dynamic Systems Models. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-04036-3_3.

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Nieuwenhuis, J. W., and J. C. Willems. "Deterministic ARMA Models." In Analysis and Optimization of Systems. Springer Berlin Heidelberg, 1986. http://dx.doi.org/10.1007/bfb0007578.

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Pisciella, Paolo, Marida Bertocchi, and Maria Teresa Vespucci. "Models for Optimization of Power Systems." In Numerical Analysis and Optimization. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-17689-5_12.

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Gabriel Crainic, Teodor, and Michael Florian. "Optimization Models for Transportation Systems Planning." In Applications of Combinatorial Optimization. John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118600283.ch6.

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Crainic, Teodor Gabriel, and Michael Florian. "Optimization Models for Transportation Systems Planning." In Applications of Combinatorial Optimization. John Wiley & Sons, Inc., 2014. http://dx.doi.org/10.1002/9781119005384.ch6.

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Dangerfield, Brian. "System Dynamics Models, Optimization of." In Encyclopedia of Complexity and Systems Science. Springer New York, 2009. http://dx.doi.org/10.1007/978-0-387-30440-3_542.

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Dangerfield, Brian. "System Dynamics Models, Optimization of." In Complex Systems in Finance and Econometrics. Springer New York, 2009. http://dx.doi.org/10.1007/978-1-4419-7701-4_44.

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Dangerfield, Brian. "System Dynamics Models, Optimization of." In Encyclopedia of Complexity and Systems Science. Springer New York, 2013. http://dx.doi.org/10.1007/978-3-642-27737-5_542-4.

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Dangerfield, Brian, and Jim Duggan. "System Dynamics Models, Optimization of." In Encyclopedia of Complexity and Systems Science. Springer Berlin Heidelberg, 2019. http://dx.doi.org/10.1007/978-3-642-27737-5_542-5.

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Zheng, Qipeng P., Steffen Rebennack, Niko A. Iliadis, and Panos M. Pardalos. "Optimization Models in the Natural Gas Industry." In Energy Systems. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-02493-1_6.

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Conference papers on the topic "Systems Optimization Models"

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Bermudez, Giovanny Mauricio Tarazona, Luz Andrea Rodriguez Rojas, and Julio Fernando Ochoa Rodriguez. "Optimization models in layout." In 2014 9th Iberian Conference on Information Systems and Technologies (CISTI). IEEE, 2014. http://dx.doi.org/10.1109/cisti.2014.6876978.

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Fierro, Resffa, Oscar Castillo, and Fevrier Valdez. "Optimization of fuzzy control systems with different variants of Particle Swarm Optimization." In 2013 IEEE Workshop on Hybrid Intelligent Models and Applications (HIMA). IEEE, 2013. http://dx.doi.org/10.1109/hima.2013.6615022.

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Shan Huo Chen and Chih Hsun Hsieh. "Optimization of fuzzy simple inventory models." In Proceedings of 8th International Fuzzy Systems Conference. IEEE, 1999. http://dx.doi.org/10.1109/fuzzy.1999.793242.

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Nakamura, Masaki, and Kazutoshi Sakakibara. "Formal Verification and Mathematical Optimization for Autonomous Vehicle Group Controllers." In 2019 ACM/IEEE 22nd International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C). IEEE, 2019. http://dx.doi.org/10.1109/models-c.2019.00111.

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Terzimehić, Tarik. "Optimization and reconfiguration of IEC 61499-based software architectures." In MODELS '18: ACM/IEEE 21th International Conference on Model Driven Engineering Languages and Systems. ACM, 2018. http://dx.doi.org/10.1145/3270112.3275336.

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Cao, Hongjun, and Baoyan Duan. "Uncertainty Analysis for Multidisciplinary Systems Based on Convex Models." In 10th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference. American Institute of Aeronautics and Astronautics, 2004. http://dx.doi.org/10.2514/6.2004-4504.

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Krawczyk, Lukas, Mahmoud Bazzal, Ram Prasath Govindarajan, and Carsten Wolff. "Model-Based Timing Analysis and Deployment Optimization for Heterogeneous Multi-core Systems using Eclipse APP4MC." In 2019 ACM/IEEE 22nd International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C). IEEE, 2019. http://dx.doi.org/10.1109/models-c.2019.00013.

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Wilhelm, Thomas, and Raphael Weber. "Towards Model-Based Generation and Optimization of AUTOSAR Runnable-to-Task Mapping." In 2019 ACM/IEEE 22nd International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C). IEEE, 2019. http://dx.doi.org/10.1109/models-c.2019.00012.

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Machado, Jeremias Barbosa. "GA optimization of ladder-structured GOBF models." In 2014 8th Annual IEEE Systems Conference (SysCon). IEEE, 2014. http://dx.doi.org/10.1109/syscon.2014.6819287.

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Dang Luo, Bao-Lei Wei, and Yu-Wen Li. "The optimization grey incidence analysis models." In 2015 IEEE International Conference on Grey Systems and Intelligent Services (GSIS). IEEE, 2015. http://dx.doi.org/10.1109/gsis.2015.7301849.

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Reports on the topic "Systems Optimization Models"

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Parekh, Ojas, Jean-Paul Watson, Cynthia Ann Phillips, et al. Optimization of large-scale heterogeneous system-of-systems models. Office of Scientific and Technical Information (OSTI), 2012. http://dx.doi.org/10.2172/1034869.

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Scheinberg, Katya. Derivative Free Optimization of Complex Systems with the Use of Statistical Machine Learning Models. Defense Technical Information Center, 2015. http://dx.doi.org/10.21236/ada622645.

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Basar, T. Model building, control and optimization of large scale systems. Office of Scientific and Technical Information (OSTI), 1993. http://dx.doi.org/10.2172/6579373.

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Horton, William D. Ground Vehicle System Integration (GVSI) and Design Optimization Model. Defense Technical Information Center, 1996. http://dx.doi.org/10.21236/ada360935.

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Choi, Kyung K. System Reliability-Based Design Optimization Under Input and Model Uncertainties. Defense Technical Information Center, 2014. http://dx.doi.org/10.21236/ada605988.

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Willis, Ruth P., Probin Guha, David R. Hunter, and Michael J. Singer. The Optimization of Simulation-Based Training Systems: Model Data Collection and Utilization. Defense Technical Information Center, 1990. http://dx.doi.org/10.21236/ada231436.

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Hendricks, T. J. Vehicle Transient Air Conditioning Analysis: Model Development& System Optimization Investigations. Office of Scientific and Technical Information (OSTI), 2001. http://dx.doi.org/10.2172/15000172.

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Johnson, Erick, Janet Barco Mugg, Scott James, and Jesse D. Roberts. Reference Model MHK Turbine Array Optimization Study within a Generic River System. Office of Scientific and Technical Information (OSTI), 2011. http://dx.doi.org/10.2172/1126470.

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Wang, L., and S. N. Atluri. Automated Structural Optimization System (ASTROS) Damage Tolerance Module. Volume 2 - User's Manual. Defense Technical Information Center, 1999. http://dx.doi.org/10.21236/ada375881.

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Wang, L., and S. N. Atluri. Automated Structural Optimization System (ASTROS) Damage Tolerance Module. Volume 1 - Final Report. Defense Technical Information Center, 1999. http://dx.doi.org/10.21236/ada375882.

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