Добірка наукової літератури з теми "McCormick envelope"
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Статті в журналах з теми "McCormick envelope"
Liu, Jingyao, Guangsheng Feng, Jiayu Sun, Liying Zheng, and Huiqiang Wang. "QoE-Oriented Cooperative Broadcast Optimization for Vehicular Video Streaming." Wireless Communications and Mobile Computing 2021 (December 23, 2021): 1–22. http://dx.doi.org/10.1155/2021/8653083.
Повний текст джерелаSharifzadeh, H. "An Enhanced McCormick Envelopes to Represent Kron's Loss Formula." International Journal of Engineering 36, no. 3 (2023): 585–93. http://dx.doi.org/10.5829/ije.2023.36.03c.19.
Повний текст джерелаRana, Zaid Ashraf, Cheng Seong Khor, and Haslinda Zabiri. "Computational Experience with Piecewise Linear Relaxations for Petroleum Refinery Planning." Processes 9, no. 9 (September 9, 2021): 1624. http://dx.doi.org/10.3390/pr9091624.
Повний текст джерелаUr Rehman, Habib, Sajjad Ali Haider, Syed Rameez Naqvi, Muhammad Naeem, Kyung-Sup Kwak, and S. M. Riazul Islam. "Environment Friendly Energy Cooperation in Neighboring Buildings: A Transformed Linearization Approach." Energies 15, no. 3 (February 4, 2022): 1160. http://dx.doi.org/10.3390/en15031160.
Повний текст джерелаZhao, Xiao, Xuhui Xia, Lei Wang, and Guodong Yu. "Risk-Averse Facility Location for Green Closed-Loop Supply Chain Networks Design under Uncertainty." Sustainability 10, no. 11 (November 6, 2018): 4072. http://dx.doi.org/10.3390/su10114072.
Повний текст джерелаSchweidtmann, Artur M., Dominik Bongartz, Daniel Grothe, Tim Kerkenhoff, Xiaopeng Lin, Jaromił Najman, and Alexander Mitsos. "Deterministic global optimization with Gaussian processes embedded." Mathematical Programming Computation 13, no. 3 (June 25, 2021): 553–81. http://dx.doi.org/10.1007/s12532-021-00204-y.
Повний текст джерелаBasto-Gil, Jerson Daniel, Angel David Maldonado-Cardenas, and Oscar Danilo Montoya. "Optimal Selection and Integration of Batteries and Renewable Generators in DC Distribution Systems through a Mixed-Integer Convex Formulation." Electronics 11, no. 19 (September 30, 2022): 3139. http://dx.doi.org/10.3390/electronics11193139.
Повний текст джерелаKleinert, Thomas, Martine Labbé, Fränk Plein, and Martin Schmidt. "Closing the gap in linear bilevel optimization: a new valid primal-dual inequality." Optimization Letters, November 11, 2020. http://dx.doi.org/10.1007/s11590-020-01660-6.
Повний текст джерелаPaláncz, Béla, and Lajos Völgyesi. "A Numeric-Symbolic Solution of GNSS Phase Ambiguity." Periodica Polytechnica Civil Engineering, February 3, 2020. http://dx.doi.org/10.3311/ppci.15092.
Повний текст джерелаMahmoodian, Vahid, Iman Dayarian, Payman Ghasemi Saghand, Yu Zhang, and Hadi Charkhgard. "A Criterion Space Branch-and-Cut Algorithm for Mixed Integer Bilinear Maximum Multiplicative Programs." INFORMS Journal on Computing, January 4, 2022. http://dx.doi.org/10.1287/ijoc.2021.1097.
Повний текст джерелаДисертації з теми "McCormick envelope"
Silva, Mauro Viegas da. "Desenvolvimento de um modelo de programação convexa para o problema de fluxo de potência ótimo /." Ilha Solteira, 2018. http://hdl.handle.net/11449/180413.
Повний текст джерелаResumo: Neste trabalho, o modelo matemático do problema de fluxo de potência ótimo básico não linear é analisado e manipulado algebricamente para obter um modelo de programação convexa, do tipo cônico de segunda ordem. O conceito de envelopes convexos é apresentado para tratar a não linearidade e não convexidade da restrição trigonométrica inversa que surge ao escrever o modelo de FPO como um modelo cônico. Aplicando duas proposições apresentadas neste trabalho a restrição trigonométrica é resolvida em um pré-processamento por um solver de otimalidade local, neste caso o KNITRO, que enumera todas as possibilidades dos pontos de KKT para obter os envelopes convexos e tornar o modelo de FPO totalmente convexo. O modelo é implementado no AMPL e é resolvido com solvers de otimalidade global com sistemas testes da literatura, nesta tese usam-se os sistemas testes IEEE 14, 30, 57 e 118 barras. Os resultados obtidos são validados comparando-os com resultados fornecidos pelo Matpower, que é um simulador para FPO. Como contribuição desta tese, o modelo convexo de FPO obtido é utilizado como exemplo de aplicações no problema de despacho ótimo de potência ativa e reativa, considerando competições via programação binível. São apresentados dois modelos biníveis e dois modelos uníveis. O modelo iterativo convexo utiliza-se do modelo proposto de FPO convexo e as não linearidades são convexificadas fazendo uso dos envelopes de McCormick. O conceito de dualidade forte é empregado afim de obter um mod... (Resumo completo, clicar acesso eletrônico abaixo)
Abstract: In this work, the basic nonlinear mathematical model for the optimal power flow (OPF) problem is analyzed and manipulated algebraically in order to obtain a second-order conic convex programming model. The concept of convex envelopes is presented to deal with the nonlinearity and nonconvexity of the inverse trigonometric constraint that arises when transforming the nonconvex OPF model into an equivalent conic model. By applying two propositions presented in this work, the trigonometric constraint is solved in a pre-processing stage by a local optimization solver, in this case, the KNITRO solver, which considers all the possibilities of the KKT points to obtain the convex envelopes and find a completely convex OPF model, is used. The model is implemented in AMPL and is solved via global optimization solvers while to show the effectiveness of the model several IEEE systems such as the IEEE 14-, 30-, 57-, and 118-bus systems are used. The obtained results are validated by comparing them with the results provided by Matpower, which is an OPF solver. As a contribution of this thesis, the obtained convex OPF model is used as an application in the active and reactive optimal power dispatch problem, considering competition via bilevel programming. Two bilevel models and two single-level models are presented. The convex iterative model uses the proposed convex OPF model, and the nonlinearities are convexified using McCormick envelopes. The concept of strong duality is employed to obta... (Complete abstract click electronic access below)
Doutor
Gupte, Akshay. "Mixed integer bilinear programming with applications to the pooling problem." Diss., Georgia Institute of Technology, 2012. http://hdl.handle.net/1853/45761.
Повний текст джерелаЧастини книг з теми "McCormick envelope"
Koch, Christof. "Bursting Cells." In Biophysics of Computation. Oxford University Press, 1998. http://dx.doi.org/10.1093/oso/9780195104912.003.0022.
Повний текст джерелаBynum, Michael, Anya Castillo, Jean-Paul Watson, and Carl D. Laird. "Strengthened SOCP Relaxations for ACOPF with McCormick Envelopes and Bounds Tightening." In 13th International Symposium on Process Systems Engineering (PSE 2018), 1555–60. Elsevier, 2018. http://dx.doi.org/10.1016/b978-0-444-64241-7.50254-8.
Повний текст джерелаТези доповідей конференцій з теми "McCormick envelope"
Lin, Xuan, Min Sung Ahn, and Dennis Hong. "Designing Multi-Stage Coupled Convex Programming with Data-Driven McCormick Envelope Relaxations for Motion Planning." In 2021 IEEE International Conference on Robotics and Automation (ICRA). IEEE, 2021. http://dx.doi.org/10.1109/icra48506.2021.9561418.
Повний текст джерелаTang, Xueyong, Xiaocong Sun, Xia Yan, Sheng Wang, Yu Zhang, Changzheng Shao, and Yi Ding. "Linearized Modeling of Integrated Electricity and District Heating Systems with VF-VT Strategy Based on McCormick Envelopes." In 2020 IEEE Sustainable Power and Energy Conference (iSPEC). IEEE, 2020. http://dx.doi.org/10.1109/ispec50848.2020.9351222.
Повний текст джерелаManarelli Gaspar, João Paulo, and Leonardo Nepomuceno. "Modelo de Leilão Multi-período de Sistemas Hidrotérmicos para Mercados do Dia Seguinte." In Congresso Brasileiro de Automática - 2020. sbabra, 2020. http://dx.doi.org/10.48011/asba.v2i1.1406.
Повний текст джерелаZhang, Youzhi, Bo An, and V. S. Subrahmanian. "Correlation-Based Algorithm for Team-Maxmin Equilibrium in Multiplayer Extensive-Form Games." In Thirty-First International Joint Conference on Artificial Intelligence {IJCAI-22}. California: International Joint Conferences on Artificial Intelligence Organization, 2022. http://dx.doi.org/10.24963/ijcai.2022/86.
Повний текст джерела