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Relevant bibliographies by topics / Combination optimization

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Academic literature on the topic 'Combination optimization'

Author: Grafiati

Published: 4 June 2021

Last updated: 9 February 2022

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Journal articles on the topic "Combination optimization"

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Nan, Yang. "An Improved Ant Colony Optimization Algorithm Based on Immunization Strategy." Advanced Materials Research 490-495 (March 2012): 66–70. http://dx.doi.org/10.4028/www.scientific.net/amr.490-495.66.

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Ant colony optimization has been become a very useful method for combination optimization problems. Based on close connections between combination optimization and continuous optimization, nowadays some scholars have studied to apply ant colony optimization to continuous optimization problems, and proposed some continuous ant colony optimizations. To improve the performance of those continuous ant colony optimizations, here the principles of evolutionary algorithm and artificial immune algorithm have been combined with the typical continuous Ant Colony Optimization, and the adaptive Cauchi mut

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Wang, Jun, Xurong Dong, Wei Fu, Di Yan, and Zengkai Shi. "Optimization and selection of Galileo triple-frequency carrier linear combination." Measurement and Control 54, no. 1-2 (2021): 116–28. http://dx.doi.org/10.1177/0020294020983386.

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The triple-frequency linear combination with a low noise, a long wavelength, and a weak ionosphere is beneficial to effectively eliminate or weaken the common errors, advance the reliability of cycle slip detection and repair, and speed up the convergence time of fixed ambiguity. By establishing the Galileo triple-frequency carrier linear combination model, three types of linear combinations are derived: Geometry-free (GF) combinations, minimum noise (MN) combinations, and ionosphere-free (IF) combinations. The geometric relationships of these linear combinations are displayed in the form of i

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Venu, Borigorla, L. Suvarna Raju, and K. Venkata Rao. "Multiobjective optimization of friction stir weldments of AA2014-T651 by teaching–learning-based optimization." Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 234, no. 6 (2019): 1146–55. http://dx.doi.org/10.1177/0954406219891755.

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This study focuses on optimization of process parameters, which may result in improved mechanical properties of the friction stir weldments of AA2014-T651. Plain taper and threaded taper cylindrical tool pin profiles were used for the study. A set of experiments was conducted at different levels of tool rotational and weld speeds using two tool pin profiles. Mechanical properties such as tensile strength, yield strength, impact strength, percentage of elongation, and hardness were measured. Objective functions are developed for the five mechanical properties in terms of input parameters. The i

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Huo, Jiuyuan, and Liqun Liu. "Evaluation Method of Multiobjective Functions’ Combination and Its Application in Hydrological Model Evaluation." Computational Intelligence and Neuroscience 2020 (March 10, 2020): 1–23. http://dx.doi.org/10.1155/2020/8594727.

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Parameter optimization of a hydrological model is intrinsically a high dimensional, nonlinear, multivariable, combinatorial optimization problem which involves a set of different objectives. Currently, the assessment of optimization results for the hydrological model is usually made through calculations and comparisons of objective function values of simulated and observed variables. Thus, the proper selection of objective functions’ combination for model parameter optimization has an important impact on the hydrological forecasting. There exist various objective functions, and how to analyze

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Lin, Yusheng, Zheng Sun, Alexandru Dadalau, and Alexander Verl. "Efficient Combination of Topology and Parameter Optimization." Open Journal of Optimization 03, no. 03 (2014): 19–25. http://dx.doi.org/10.4236/ojop.2014.33003.

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Pulkkinen, Otto I., Prson Gautam, Ville Mustonen, and Tero Aittokallio. "Multiobjective optimization identifies cancer-selective combination therapies." PLOS Computational Biology 16, no. 12 (2020): e1008538. http://dx.doi.org/10.1371/journal.pcbi.1008538.

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Combinatorial therapies are required to treat patients with advanced cancers that have become resistant to monotherapies through rewiring of redundant pathways. Due to a massive number of potential drug combinations, there is a need for systematic approaches to identify safe and effective combinations for each patient, using cost-effective methods. Here, we developed an exact multiobjective optimization method for identifying pairwise or higher-order combinations that show maximal cancer-selectivity. The prioritization of patient-specific combinations is based on Pareto-optimization in the sea

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Liu, Gia-Shie. "A combination method for reliability-redundancy optimization." Engineering Optimization 38, no. 4 (2006): 485–99. http://dx.doi.org/10.1080/03052150500465541.

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Patel G C, Manjunath, Prasad Krishna, Mahesh B. Parappagoudar, and Pandu Ranga Vundavilli. "Multi-Objective Optimization of Squeeze Casting Process using Evolutionary Algorithms." International Journal of Swarm Intelligence Research 7, no. 1 (2016): 55–74. http://dx.doi.org/10.4018/ijsir.2016010103.

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The present work focuses on determining optimum squeeze casting process parameters using evolutionary algorithms. Evolutionary algorithms, such as genetic algorithm, particle swarm optimization, and multi objective particle swarm optimization based on crowing distance mechanism, have been used to determine the process variable combinations for the multiple objective functions. In multi-objective optimization, there are no single optimal process variable combination due to conflicting nature of objective functions. Four cases have been considered after assigning different combination of weights

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Dhanarasi, Gowtham, B. T. Krishna, and K. Padma Raju. "Design of Digital Differentiator Using a Combination of System Identification and Particle Swarm Optimization." Journal of Advanced Research in Dynamical and Control Systems 11, no. 10 (2019): 131–36. http://dx.doi.org/10.5373/jardcs/v11i10/20193015.

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Tan, Wen Zhe, Xin Li, and Yue Ting Chai. "Policy-Combination Oriented Optimization for Supply Chain Simulation." Applied Mechanics and Materials 302 (February 2013): 646–51. http://dx.doi.org/10.4028/www.scientific.net/amm.302.646.

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Supply chain simulation is able to capture the dynamics and uncertainties in all kinds of supply chains and provide quantitative performance evaluations. In order to address the time consuming evaluation and large search space issues in supply chain simulation, this paper proposes a policy-combination oriented optimization approach to conduct decision makings. The approach begins with reducing the search space by relaxing the goal of optimization, and then refers to meta-heuristic searching methods to solve the main bi-level optimization problem. Lastly the key parameters are fine-tuned with w

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Dissertations / Theses on the topic "Combination optimization"

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Gertz, Edward Michael. "Combination trust-region line-search methods for unconstrained optimization /." Diss., Connect to a 24 p. preview or request complete full text in PDF format. Access restricted to UC campuses, 1998. http://wwwlib.umi.com/cr/ucsd/fullcit?p9935439.

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Li, Hui. "Combination of Evolutionary Algorithms with Decomposition Techniques for Multiobjective Optimization." Thesis, University of Essex, 2008. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.486190.

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Multiobjective optimization problems (MOPs) arise in many real-life applications. In recent years, multiobjective evolutionary algorithms (MOEAs) have attracted a growing attention since they are able to find multiple compromise solutions (known as Pareto-optimal solutions) in a single run. Decomposition (i.e., the use of multiple aggregation functions) is one of the basic strategies for fitness assignment in MOEAs. However, the advantages of decomposition techniques have not been fully utilized in Ivl0EAs. This thesis mainly studies the combination of evolutionary algorithms with decompositio

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Winkler, Sven [Verfasser]. "Endwall Contouring Using Numerical Optimization in Combination with the Ice Formation Method / Sven Winkler." München : Verlag Dr. Hut, 2016. http://d-nb.info/1106593553/34.

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Afsharian, Parvaneh. "Optimization of cyclophosphamide therapy based on pharmacogenetics /." Stockholm, 2006. http://diss.kib.ki.se/2006/91-7140-997-1/.

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Morabito, David L. "Statistical mechanics of neural networks and combinatorial opimization problems /." Online version of thesis, 1991. http://hdl.handle.net/1850/11089.

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Karlsson, Klas. "Load flow control and optimization using phase shifting equipment in combination with Banverkets rotating converters." Thesis, KTH, Elektriska energisystem, 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-118933.

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The purpose of the thesis was to further investigate the possibility to complement the rotary converters with a phase shifting device as a continuation of the work done in the master thesis; Load flow control and optimization of Banverkets 132 kV 16 2/3 Hz high voltage grid. With this modification, rotating converters can be used almost as flexible as static converters. The earlier thesis has come to the conclusion that the best way of compensating the phase displacement is with a series inductance. In this thesis the possibility to use capacitors instead of or in combination with inductors wa

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Karvanen, Matti. "Optimization of Colistin Dosage in the Treatment of Multiresistant Gram-negative Infections." Doctoral thesis, Uppsala universitet, Infektionssjukdomar, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-197724.

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As multidrug resistance in Gram-negative bacilli increases, the old antibiotic colistin has rapidly gained attention as one of few last line treatment options in the form of colistin methanesulfonate (CMS), which is hydrolyzed to colistin both in vitro and in vivo. There is a dearth of knowledge on fundamental aspects of colistin, including pharmacokinetics and optimal dosing regimens. The aim of this thesis was to improve the basis for optimal colistin therapy. To be able to study colistin, an LC-MS/MS assay method was developed which is sensitive, specific and useful in both in vivo and in v

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Tadonki, Claude. "High Performance Computing as a Combination of Machines and Methods and Programming." Habilitation à diriger des recherches, Université Paris Sud - Paris XI, 2013. http://tel.archives-ouvertes.fr/tel-00832930.

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High Performance Computing (HPC) aims at providing reasonably fast computing solutions to both scientific and real life technical problems. Many efforts have indeed been made on the way to powerful supercomputers, both generic and customized configurations. However, whatever their current and future breathtaking capabilities, supercomputers work by brute force and deterministic steps, while human mind works by few strokes of brilliance. Thus, in order to take a significant advantage of hardware advances, we need powerful methods to solve problems together with highly skillful programming effor

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Winkler, Sven [Verfasser], and Bernhard [Akademischer Betreuer] Weigand. "Endwall contouring using numerical optimization in combination with the ice formation method / Sven Winkler ; Betreuer: Bernhard Weigand." Stuttgart : Universitätsbibliothek der Universität Stuttgart, 2016. http://d-nb.info/1118370198/34.

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Yi, Lian. "Energy optimization potential for interconnected buildings in a new urban development project." Thesis, KTH, Energiteknik, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-273167.

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The society is going through transformations in several dimensions at the same time. The energy system is moving towards renewables and reduced resource intensity. Market structures are gradually changing, and new actors emerge to compete with incumbents. Digitization creates fundamentally new conditions for everyone. Cities are being reimagined and are driving much of the transformation. Energy optimization becomes a heated topic for the whole society. This thesis research collaborated with the company SWECO Energy Strategies group investigates one part of energy optimization: proposing diffe

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Books on the topic "Combination optimization"

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Carlson, Harry W. Validation of a computer code for analysis of subsonic aerodynamic performance of wings with flaps in combination with a canard or horizontal tail and an application to optimization. Langley Research center, 1990.

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Heusler, Lucas Sebastian. Transistor sizing for timing optimization of combinational digital CMOS circuits. Hartung-Gorre Verlag, 1990.

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Heusler, Lucas S. Transistor sizing for timing optimization of combinational digital CMOS circuits. Hartung-Gorre, 1990.

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Oulasvirta, Antti, and Andreas Karrenbauer. Combinatorial Optimization for User Interface Design. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198799603.003.0005.

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Combinatorial optimization offers a rigorous but powerful approach to user interface design problems, defining problems mathematically such that they can be algorithmically solved. Design is defined as algorithmic combination of design decisions to obtain an optimal solution defined by an objective function. There are strong rationale for this method. First, core concepts such as ’design task’, ’design objective’, and ’optimal design’ become explicit and actionable. Second, solutions work well in practice, even for some problems traditionally out of reach of manual solutions. The method can as

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Sedmera, David, and Robert P. Thompson. Building the cardiovascular system: the acquisition of a functional form. Edited by José Maria Pérez-Pomares, Robert G. Kelly, Maurice van den Hoff, et al. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780198757269.003.0013.

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In this chapter we discuss key aspects of heart morphogenesis, namely the formation of the cardiac conduction system, coronary vascularization, and septation. We discuss functional studies and their contribution to our understanding of normal and abnormal development. Finally, we provide some explanations for particular shapes of the left ventricle in different species, reasoning that it is due to combination of physical constrains and functional optimization.

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Validation of a computer code for analysis of subsonic aerodynamic performance of wings with flaps in combination with a canard or horizontal tail and an application of optimization. National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Division, 1990.

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Validation of a computer code for analysis of subsonic aerodynamic performance of wings with flaps in combination with a canard or horizontal tail and an application of optimization. National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Division, 1990.

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Boudreau, Joseph F., and Eric S. Swanson. Data modeling. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198708636.003.0016.

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A variety of techniques for extracting information from data are presented, from pedestrian approaches such as the centuries old linear least-squares fit, to elegant binned and unbinned likelihood fits. A treatment of statistical combination of data leads to an introduction to the powerful Kalman filter approach, used to determine optimal estimates of deterministic-stochastic systems. In experimental physics the Kalman filter is used estimate trajectories from data, but it also finds applications in industrial process control, and in the aeronautics and robots industries. These techniques typi

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Faria, Alfredo Rocha De. Buckling optimization of composite plates and cylindrical shells: Uncertain loading combinations. 2000.

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Veering, Bernadette, and Chris Dodds. Anaesthesia in the elderly. Edited by Philip M. Hopkins. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780199642045.003.0086.

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The elderly population continues to grow. As surgical intervention in disease processes becomes more aggressive, the anaesthetist is faced with an increasing number of elderly patients. Elderly patients should be approached with a clear understanding of ageing, how it occurs, how it affects specific organ systems, and how it may influence clinical care, when a patient is subjected to an operation. The ageing process is a multifactorial process, resulting in a decreased capacity for adaptation and producing a gradual decrease in functional reserve of many organ systems. This has significant eff

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Book chapters on the topic "Combination optimization"

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Kamzolov, Dmitry, Alexander Gasnikov, and Pavel Dvurechensky. "Optimal Combination of Tensor Optimization Methods." In Optimization and Applications. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-62867-3_13.

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van Dijk, Nico M., René Haijema, Erik van der Sluis, Nikky Kortbeek, Assil Al-Ibrahim, and Jan van der Wal. "OR and Simulation in Combination for Optimization." In Applied Simulation and Optimization. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-15033-8_3.

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Greistorfer, Peter. "Experimental Pool Design: Input, Output and Combination Strategies for Scatter Search." In Applied Optimization. Springer US, 2003. http://dx.doi.org/10.1007/978-1-4757-4137-7_13.

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Khichane, Madjid, Patrick Albert, and Christine Solnon. "Strong Combination of Ant Colony Optimization with Constraint Programming Optimization." In Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problems. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-13520-0_26.

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Guo, Ting. "Isolation, Optimization, and Combination of Individual Enhancements." In X-ray Nanochemistry. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-78004-7_5.

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Deng, Yongbo, Yihui Wu, and Zhenyu Liu. "Combination of Topology Optimization and Optimal Control Method." In Topology Optimization Theory for Laminar Flow. Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-4687-2_5.

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Chen, Jia-liang, Shu-bo Hu, Wei Zhou, et al. "Combination and Optimization Load Forecasting Based on Credibility." In Lecture Notes in Electrical Engineering. Springer Berlin Heidelberg, 2016. http://dx.doi.org/10.1007/978-3-662-48768-6_17.

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Dong, Ce, and James Bailey. "Optimization of XSLT by Compact Specialization and Combination." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11581062_23.

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Mostafa, Ahmed, Tadeusz Górecki, Peter Q. Tranchida, and Luigi Mondello. "History, Evolution, and Optimization Aspects of Comprehensive Two-Dimensional Gas Chromatography." In Comprehensive Chromatography in Combination with Mass Spectrometry. John Wiley & Sons, Inc., 2011. http://dx.doi.org/10.1002/9781118003466.ch4.

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François, Isabelle, Koen Sandra, and Pat Sandra. "History, Evolution, and Optimization Aspects of Comprehensive Two-Dimensional Liquid Chromatography." In Comprehensive Chromatography in Combination with Mass Spectrometry. John Wiley & Sons, Inc., 2011. http://dx.doi.org/10.1002/9781118003466.ch8.

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Conference papers on the topic "Combination optimization"

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Li, Meijuan, Guohong Chen, Zhibing Lin, and Binqing Cai. "Combination Forecasting Model Based on Drift." In 2009 International Joint Conference on Computational Sciences and Optimization, CSO. IEEE, 2009. http://dx.doi.org/10.1109/cso.2009.26.

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Hafiz, A. A. M., H. M. A. Hussein, A. M. B. Gemeal, and Vishal Naranje. "Topology Optimization of Sheet Metal Combination Die." In 2019 International Conference on Computational Intelligence and Knowledge Economy (ICCIKE). IEEE, 2019. http://dx.doi.org/10.1109/iccike47802.2019.9004423.

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Horvath, R., and E. Toth-Laufer. "Fuzzy model-based cutting parameter combination optimization." In 2014 18th International Conference on Intelligent Engineering Systems (INES). IEEE, 2014. http://dx.doi.org/10.1109/ines.2014.6909359.

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Wang, Xinqing, Yanli Liu, and Juan Gao. "Non negative linear combination grasp force optimization." In 2016 IEEE International Conference on Mechatronics and Automation. IEEE, 2016. http://dx.doi.org/10.1109/icma.2016.7558896.

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He, Xiaodong, and Kristina Toutanova. "Joint optimization for machine translation system combination." In the 2009 Conference. Association for Computational Linguistics, 2009. http://dx.doi.org/10.3115/1699648.1699666.

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Ortmeier, F., and W. Reif. "Safety optimization: a combination of fault tree analysis and optimization techniques." In International Conference on Dependable Systems and Networks, 2004. IEEE, 2004. http://dx.doi.org/10.1109/dsn.2004.1311935.

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Fujita, Kikuo, and Hiroko Yoshida. "Product Variety Optimization: Simultaneous Optimization of Module Combination and Module Attributes." In ASME 2001 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2001. http://dx.doi.org/10.1115/detc2001/dac-21058.

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Abstract This paper proposes a simultaneous optimization method for both module combination and module attributes of multiple products. As manufacturing competition has become restricted with high profitability and external constraints, simultaneous design of multiple products, which is called product variety design etc., becomes an important strategy. System-based optimal design paradigm is expected to be essential to rationalize such practices, since design for product variety is more complicated than one for a single product. Toward such a direction, we configure an optimization method for

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Maeda, Yutaka, and Naoto Matsushita. "Combination of particle swarm optimization and simultaneous perturbation." In 2008 IEEE Congress on Evolutionary Computation (CEC). IEEE, 2008. http://dx.doi.org/10.1109/cec.2008.4630974.

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Obuchi, Y. "Mixture weight optimization for dual-microphone MFCC combination." In IEEE Workshop on Automatic Speech Recognition and Understanding, 2005. IEEE, 2005. http://dx.doi.org/10.1109/asru.2005.1566511.

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Uriarte, Ainhoa Goienetxea, Matias Urenda Moris, Amos H. C. Ng, and Jan Oscarsson. "Lean, simulation and optimization: A win-win combination." In 2015 Winter Simulation Conference (WSC). IEEE, 2015. http://dx.doi.org/10.1109/wsc.2015.7408335.

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Reports on the topic "Combination optimization"

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Lewis, Robert Michael, Virginia Joanne Torczon, and Tamara Gibson Kolda. A generating set direct search augmented Lagrangian algorithm for optimization with a combination of general and linear constraints. Office of Scientific and Technical Information (OSTI), 2006. http://dx.doi.org/10.2172/893121.

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Qi, Fei, Zhaohui Xia, Gaoyang Tang, et al. A Graph-based Evolutionary Algorithm for Automated Machine Learning. Web of Open Science, 2020. http://dx.doi.org/10.37686/ser.v1i2.77.

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As an emerging field, Automated Machine Learning (AutoML) aims to reduce or eliminate manual operations that require expertise in machine learning. In this paper, a graph-based architecture is employed to represent flexible combinations of ML models, which provides a large searching space compared to tree-based and stacking-based architectures. Based on this, an evolutionary algorithm is proposed to search for the best architecture, where the mutation and heredity operators are the key for architecture evolution. With Bayesian hyper-parameter optimization, the proposed approach can automate th

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Merkulova, Yuliya. Система цифровых моделей - новая технология для баланса данных. Yuliya Merkulova, 2021. http://dx.doi.org/10.12731/er0430.26042021.

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Use of the digital technologies is new and very productive approach for balance of different data. It is very important for balance of supply and demand and for increase of competitiveness of products. Various types of digital models were developed as a result of scientific research, they found reflection in article. Digital models for the description of the list of the sequences of steps and operations of various stages and process in general allow to install system of interrelations between operations and steps and to reach necessary log-ic, increase of effectiveness of any process. Object-r

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