Literatura académica sobre el tema "Min-max methods"
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Artículos de revistas sobre el tema "Min-max methods"
Lin, JiGuan G. "On min-norm and min-max methods of multi-objective optimization". Mathematical Programming 103, n.º 1 (1 de septiembre de 2003): 1–33. http://dx.doi.org/10.1007/s10107-003-0462-y.
Texto completoKaradimitriou, Kosmas y John M. Tyler. "Min-max compression methods for medical image databases". ACM SIGMOD Record 26, n.º 1 (marzo de 1997): 47–52. http://dx.doi.org/10.1145/248603.248613.
Texto completoSun, Qiwei, Toshiyuki Miyamoto, Shoichi Kitamura, Ayako Taniguchi-Matsuoka, Kento Naito, Kazuyuki Mori y Yoshio Izui. "Local Search Methods for Min-Max Clearing Problem". Transactions of the Institute of Systems, Control and Information Engineers 35, n.º 8 (15 de agosto de 2022): 193–201. http://dx.doi.org/10.5687/iscie.35.193.
Texto completoTigan, Stephan y I. M. Stancu-Minasian. "Methods for solving stochastic bilinear fractional max-min problems". RAIRO - Operations Research 30, n.º 1 (1996): 81–98. http://dx.doi.org/10.1051/ro/1996300100811.
Texto completoLu, Baiquan, Yuan Cao, Min jie Yuan y Jianzhen Zhou. "Reference variable methods of solving min–max optimization problems". Journal of Global Optimization 42, n.º 1 (12 de julio de 2007): 1–21. http://dx.doi.org/10.1007/s10898-007-9191-8.
Texto completoSinsomboonthong, Saichon. "Performance Comparison of New Adjusted Min-Max with Decimal Scaling and Statistical Column Normalization Methods for Artificial Neural Network Classification". International Journal of Mathematics and Mathematical Sciences 2022 (22 de abril de 2022): 1–9. http://dx.doi.org/10.1155/2022/3584406.
Texto completoGinting, Raheliya Br. "Analisis Fungsi Implikasi Max-Min dan Max-Prod Dalam Pengambilan Keputusan". Creative Information Technology Journal 1, n.º 2 (2 de abril de 2015): 128. http://dx.doi.org/10.24076/citec.2014v1i2.16.
Texto completoYildirim, M. "Analog circuit architecture for max and min pooling methods on image". Analog Integrated Circuits and Signal Processing 108, n.º 1 (5 de mayo de 2021): 119–24. http://dx.doi.org/10.1007/s10470-021-01842-x.
Texto completoDavid, Jennifer y Thorsteinn Rögnvaldsson. "Multi-Robot Routing Problem with Min–Max Objective". Robotics 10, n.º 4 (9 de noviembre de 2021): 122. http://dx.doi.org/10.3390/robotics10040122.
Texto completoWei, Hong Yun, Zhong Xun Zhu, Yue Gang Tao y Wen De Chen. "Output Feedback Assignability for Nonlinear Min-Max Systems". Advanced Materials Research 314-316 (agosto de 2011): 374–79. http://dx.doi.org/10.4028/www.scientific.net/amr.314-316.374.
Texto completoTesis sobre el tema "Min-max methods"
Siddique, Muhammad. "Fuzzy decision making using max-min and MMR methods". Thesis, Blekinge Tekniska Högskola, Sektionen för ingenjörsvetenskap, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-3042.
Texto completoChai, Qinqin. "Computational methods for solving optimal industrial process control problems". Thesis, Curtin University, 2013. http://hdl.handle.net/20.500.11937/1227.
Texto completoCARLOS, ERICA TELLES. "TRANSMISSION TARIFF ALLOCATION BASED ON NODAL METHOD AND MIN-MAX OPTIMIZATION TECHNIQUE". PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2012. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=20533@1.
Texto completoCONSELHO NACIONAL DE DESENVOLVIMENTO CIENTÍFICO E TECNOLÓGICO
A receita arrecadada pelo uso do sistema de transmissão é utilizada para cobrir custos de planejamento, operação e manutenção e deve ser paga por geradores e demandas, que são usuários do sistema. Um dos principais desafios é determinar a melhor maneira de alocar estes custos a geradores e demandas. Em países em desenvolvimento, como o Brasil, a acelerada expansão de geração e de transmissão, desencadeada por um crescimento acentuado de demanda, pode provocar significativa volatilidade e dispersão entre as tarifas dos usuários do sistema. Estes efeitos criam um ambiente inseguro para os investidores em geração. Para tratar este problema, esta dissertação propõe um novo método de alocação de custos pelo uso da transmissão que utiliza uma abordagem baseada na técnica de otimização min-max, e no método Nodal utilizado no Brasil. O propósito contido na utilização da técnica min-max é que os usuários com as piores tarifas devem ter prioridade em minimizá-las no processo de otimização. Assim, o objetivo é fornecer uma solução mais equitativa, e conseqüentemente, a redução de dispersão e volatilidade das tarifas ao longo do tempo, quando novos investimentos em geração e transmissão são feitos no sistema. Os resultados obtidos nos sistemas IEEE 24 barras e IEEE 118 barras indicam que a abordagem proposta fornece tarifas menos dispersas comparadas com outros métodos existentes, mas mantendo características desejáveis do método Nodal original. O método proposto também apresenta menos volatilidade nas tarifas no caso de mudanças (como diferentes despachos de geração) no sistema.
The revenue accrued for the use of the transmission system is used to recover the cost of planning, operation and maintenance and must be paid by generators and loads, which are the users of the system. One of the main challenges is how to establish the best way to allocate these costs to generators and loads. In developing countries, like Brazil, fast generation and transmission expansion triggered by a sharp demand growth, can cause significant volatility and dispersion among agents transmission tariffs. These effects can create an unsafe environment for new investors in generation. In order to face this problem, this dissertation proposes a new transmission cost allocation method that utilizes an approach based on the min-max optimization technique, and on the nodal method used in Brazil. The idea behind the utilization of min-max method is that the agents with the worst tariffs should have priority in the tariff optimization process. Thus, the objective is to provide an equitable solution and, consequently, a reduction of the dispersion and volatility of the tariffs over time, when new transmission or generation assets are incorporated into the system. The results presented for IEEE 24 bus and IEEE 118 bus systems indicate that the proposed approach gives less-dispersed tariffs compared with other existing methods, but keeping the desirable features of the traditional nodal method. The proposed method also shows less volatility in tariffs if changes (like different generation dispatches) are made to the system.
SHIMODA, Masatoshi, Hideyuki AZEGAMI y Toshiaki SAKURAI. "Numerical Solution for Min-Max Shape Optimization Problems (Minimum Design of Maximum Stress and Displacement)". 日本機械学会, 1998. http://hdl.handle.net/2237/12154.
Texto completoChen, Xianjin. "Analysis and computation of multiple unstable solutions to nonlinear elliptic systems". [College Station, Tex. : Texas A&M University, 2008. http://hdl.handle.net/1969.1/ETD-TAMU-2990.
Texto completoAmrani-Benhalima, Faïza. "Problèmes de MIN-MAX en variables 0-1 : Algorithmes de résolution exacts et approchés". Valenciennes, 1997. https://ged.uphf.fr/nuxeo/site/esupversions/6fb2c7ce-df58-4bc6-bb55-a1a7c0529fcf.
Texto completoLopez-Ibanez, Manuel. "Operational optimisation of water distribution networks". Thesis, Edinburgh Napier University, 2009. http://researchrepository.napier.ac.uk/Output/3044.
Texto completo下田, 昌利, Masatoshi Shimoda, 秀幸 畔上, Hideyuki Azegami, 俊明 桜井 y Toshiaki Sakurai. "形状最適化におけるミニマックス問題の数値解法(最大応力と最大変位の最小設計)". 日本機械学会, 1997. http://hdl.handle.net/2237/7249.
Texto completoAl-Hasani, Firas Ali Jawad. "Multiple Constant Multiplication Optimization Using Common Subexpression Elimination and Redundant Numbers". Thesis, University of Canterbury. Electrical and Computer Engineering, 2014. http://hdl.handle.net/10092/9054.
Texto completoGad, Mahmoud Attya Mohamed. "Optimalizační problémy při (max,min.)-lineárních omezeních a některé související úlohy". Doctoral thesis, 2015. http://www.nusl.cz/ntk/nusl-336972.
Texto completoCapítulos de libros sobre el tema "Min-max methods"
Packel, Ed y Stan Wagon. "Max-Min Methods: Mind Meets Machine". En Animating Calculus, 61–75. New York, NY: Springer New York, 1997. http://dx.doi.org/10.1007/978-1-4612-2408-2_7.
Texto completoMarques, Fernando C. y André Neves. "Applications of Min–Max Methods to Geometry". En Geometric Analysis, 41–77. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-53725-8_2.
Texto completoOgryczak, Włodzimierz y Tomasz Śliwiński. "On Direct Methods for Lexicographic Min-Max Optimization". En Computational Science and Its Applications - ICCSA 2006, 802–11. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11751595_85.
Texto completoEsparza, Javier, Thomas Gawlitza, Stefan Kiefer y Helmut Seidl. "Approximative Methods for Monotone Systems of Min-Max-Polynomial Equations". En Automata, Languages and Programming, 698–710. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-70575-8_57.
Texto completoAhlswede, Rudolf. "Classical Work: Edge-Disjoint Branchings, Min-Max Theorems, and Shortest Connection Networks". En Probabilistic Methods and Distributed Information, 413–33. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-00312-8_20.
Texto completoŢigan, Ştefan, Ion M. Stancu-Minasian y Iliana Ţigan. "Specific Numerical Methods for Solving Some Special Max-min Programming Problems Involving Generalized Convex Functions". En Lecture Notes in Economics and Mathematical Systems, 395–410. Berlin, Heidelberg: Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/978-3-642-56645-5_28.
Texto completoShimizu, Kiyotaka. "Multi-Objective Optimization Method by Satisfaction and Min-Max". En Lecture Notes in Economics and Mathematical Systems, 123–31. Berlin, Heidelberg: Springer Berlin Heidelberg, 1987. http://dx.doi.org/10.1007/978-3-642-46607-6_14.
Texto completoPycko, Sławomir. "An Indirect Incremental Method for Shakedown Analysis Based on the Min-Max Approach". En Inelastic Behaviour of Structures under Variable Loads, 381–98. Dordrecht: Springer Netherlands, 1995. http://dx.doi.org/10.1007/978-94-011-0271-1_21.
Texto completoCoello Coello, Carlos A. "Using the Min-Max Method to Solve Multiobjective Optimization Problems with Genetic Algorithms". En Lecture Notes in Computer Science, 303–13. Berlin, Heidelberg: Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/3-540-49795-1_27.
Texto completoCevher, Volkan, Georgios Piliouras, Ryann Sim y Stratis Skoulakis. "Min-Max Optimization Made Simple: Approximating the Proximal Point Method via Contraction Maps". En Symposium on Simplicity in Algorithms (SOSA), 192–206. Philadelphia, PA: Society for Industrial and Applied Mathematics, 2023. http://dx.doi.org/10.1137/1.9781611977585.ch18.
Texto completoActas de conferencias sobre el tema "Min-max methods"
Bhatt, Sujay, Siuli Mukhopadhyay, Ameer Mulla y Debraj Chakraborty. "Semidefinite programming methods for min-max robust parameter design". En 2012 International Conference on Statistics in Science, Business and Engineering (ICSSBE2012). IEEE, 2012. http://dx.doi.org/10.1109/icssbe.2012.6396614.
Texto completoXie, Xiao-Min y Yun Li. "Bisecting data partitioning methods for Min-Max Modular Support Vector Machine". En 2011 Eighth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2011). IEEE, 2011. http://dx.doi.org/10.1109/fskd.2011.6019750.
Texto completoLazar, M., D. Munoz de la Pena, W. P. M. H. Heemels y T. Alamo. "New Methods for Computing the Terminal Cost for Min-max Model Predictive Control". En 2007 American Control Conference. IEEE, 2007. http://dx.doi.org/10.1109/acc.2007.4282648.
Texto completoBarazandeh, Babak, Davoud Ataee Tarzanagh y George Michailidis. "Solving a Class of Non-Convex Min-Max Games Using Adaptive Momentum Methods". En ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2021. http://dx.doi.org/10.1109/icassp39728.2021.9414476.
Texto completoKheriji, Amira, Faouzi Bouani y Mekki Ksouri. "GGP approach to solve non convex min-max robust model predictive controller for a class of constrained MIMO systems". En 2010 XIth International Workshop on Symbolic and Numerical Methods, Modeling and Applications to Circuit Design (SM2ACD). IEEE, 2010. http://dx.doi.org/10.1109/sm2acd.2010.5672350.
Texto completoDamsgaard, Michael, John Rasmussen y Søren T. Christensen. "Inverse Dynamics of Musculo-Skeletal Systems Using an Efficient Min/Max Muscle Recruitment Model". En 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/vib-21347.
Texto completoAbachizadeh, Mahdi, Aghil Yousefi-Koma y Masoud Shariatpanahi. "Optimization of a Beam-Type IPMC Actuator Using Insects Swarm Intelligence Methods". En ASME 2010 10th Biennial Conference on Engineering Systems Design and Analysis. ASMEDC, 2010. http://dx.doi.org/10.1115/esda2010-24840.
Texto completoXu, Ying y Ajay Joneja. "A New Constrained Shape Deformation Operator With Applications in Footwear Design". En ASME 2008 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2008. http://dx.doi.org/10.1115/detc2008-49833.
Texto completoKeršič, Vid. "Interactive Evolutionary Computation Approach to Permutation Flow Shop Scheduling Problem". En 7th Student Computer Science Research Conference. University of Maribor Press, 2021. http://dx.doi.org/10.18690/978-961-286-516-0.8.
Texto completoDam, Nhan, Quan Hoang, Trung Le, Tu Dinh Nguyen, Hung Bui y Dinh Phung. "Three-Player Wasserstein GAN via Amortised Duality". En Twenty-Eighth International Joint Conference on Artificial Intelligence {IJCAI-19}. California: International Joint Conferences on Artificial Intelligence Organization, 2019. http://dx.doi.org/10.24963/ijcai.2019/305.
Texto completoInformes sobre el tema "Min-max methods"
Ding, Xu, Gary L. Cloud y Basavaraju B. Raju. Noise Tolerance of Improved Max-min Scanning Method for Phase Determination. Fort Belvoir, VA: Defense Technical Information Center, junio de 2004. http://dx.doi.org/10.21236/ada607290.
Texto completoKnupp, Patrick Michael y David Minot Day. Incorporating the min-max mesh optimization method within the Target-Matrix Paradigm. Office of Scientific and Technical Information (OSTI), noviembre de 2012. http://dx.doi.org/10.2172/1055904.
Texto completoDerbentsev, V., A. Ganchuk y Володимир Миколайович Соловйов. Cross correlations and multifractal properties of Ukraine stock market. Politecnico di Torino, 2006. http://dx.doi.org/10.31812/0564/1117.
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