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Статті в журналах з теми "Combinatorial optimization layers"
Kim, Bomi, Taehyeon Kim, and Yoonsik Choe. "Bayesian Optimization Based Efficient Layer Sharing for Incremental Learning." Applied Sciences 11, no. 5 (March 1, 2021): 2171. http://dx.doi.org/10.3390/app11052171.
Повний текст джерелаDeng, Beiming, Lijia Xia, and Hui Cheng. "Bilayer Real Time Multi-Robot Communication Maintenance Deployment Framework for Robot Swarms." Journal of Physics: Conference Series 2850, no. 1 (September 1, 2024): 012011. http://dx.doi.org/10.1088/1742-6596/2850/1/012011.
Повний текст джерелаLábadi, Zoltán, Noor Taha Ismaeel, Péter Petrik, and Miklós Fried. "Compositional Optimization of Sputtered SnO2/ZnO Films for High Coloration Efficiency." International Journal of Molecular Sciences 25, no. 19 (October 8, 2024): 10801. http://dx.doi.org/10.3390/ijms251910801.
Повний текст джерелаChebakov, Sergey V., and Liya V. Serebryanaya. "Finding algorithm of optimal subset structure based on the Pareto layers in the knapsack problem." Journal of the Belarusian State University. Mathematics and Informatics, no. 2 (July 30, 2020): 97–104. http://dx.doi.org/10.33581/2520-6508-2020-2-97-104.
Повний текст джерелаWu, Kee Rong, and Chung Wei Yeh. "Solution to the 0-1 Multidimensional Knapsack Problem Based on DNA Computation." Applied Mechanics and Materials 58-60 (June 2011): 1767–72. http://dx.doi.org/10.4028/www.scientific.net/amm.58-60.1767.
Повний текст джерелаCao, Zhanmao, Qisong Huang, and Chase Wu. "Maximize concurrent data flows in multi-radio multi-channel wireless mesh networks." Computer Science and Information Systems 17, no. 3 (2020): 759–77. http://dx.doi.org/10.2298/csis200216019c.
Повний текст джерелаRahman, B. S., and D. K. Lieu. "Optimization of Magnetic Pole Geometry for Field Harmonic Control in Electric Motors." Journal of Vibration and Acoustics 116, no. 2 (April 1, 1994): 173–78. http://dx.doi.org/10.1115/1.2930409.
Повний текст джерелаInga, Esteban, Juan Inga, and Andres Ortega. "Novel Approach Sizing and Routing of Wireless Sensor Networks for Applications in Smart Cities." Sensors 21, no. 14 (July 9, 2021): 4692. http://dx.doi.org/10.3390/s21144692.
Повний текст джерелаFarhi, Edward, Jeffrey Goldstone, Sam Gutmann, and Leo Zhou. "The Quantum Approximate Optimization Algorithm and the Sherrington-Kirkpatrick Model at Infinite Size." Quantum 6 (July 7, 2022): 759. http://dx.doi.org/10.22331/q-2022-07-07-759.
Повний текст джерелаZhang, Xu, Pan Guo, Hua Zhang, and Jin Yao. "Hybrid Particle Swarm Optimization Algorithm for Process Planning." Mathematics 8, no. 10 (October 11, 2020): 1745. http://dx.doi.org/10.3390/math8101745.
Повний текст джерелаДисертації з теми "Combinatorial optimization layers"
Bouvier, Louis. "Apprentissage structuré et optimisation combinatoire : contributions méthodologiques et routage d'inventaire chez Renault." Electronic Thesis or Diss., Marne-la-vallée, ENPC, 2024. http://www.theses.fr/2024ENPC0046.
Повний текст джерелаThis thesis stems from operations research challenges faced by Renault supply chain. Toaddress them, we make methodological contributions to the architecture and training of neural networks with combinatorial optimization (CO) layers. We combine them with new matheuristics to solve Renault’s industrial inventory routing problems.In Part I, we detail applications of neural networks with CO layers in operations research. We notably introduce a methodology to approximate constraints. We also solve some off- policy learning issues that arise when using such layers to encode policies for Markov decision processes with large state and action spaces. While most studies on CO layers rely on supervised learning, we introduce a primal-dual alternating minimization scheme for empirical risk minimization. Our algorithm is deep learning-compatible, scalable to large combinatorial spaces, and generic. In Part II, we consider Renault European packaging return logistics. Our rolling-horizon policy for the operational-level decisions is based on a new large neighborhood search for the deterministic variant of the problem. We demonstrate its efficiency on large-scale industrialinstances, that we release publicly, together with our code and solutions. We combine historical data and experts’ predictions to improve performance. A version of our policy has been used daily in production since March 2023. We also consider the tactical-level route contracting process. The sheer scale of this industrial problem prevents the use of classic stochastic optimization approaches. We introduce a new algorithm based on methodological contributions of Part I for empirical risk minimization
Kelareva, Galina Vladislavovna. "Development and applications of multi-layered genetic algorithms to multi-dimensional optimisation problems." Thesis, 2003. https://eprints.utas.edu.au/20554/7/whole_KelarevaGalinaVladislavovna2003.pdf.
Повний текст джерелаЧастини книг з теми "Combinatorial optimization layers"
Cai, Xuhong, Li Jiang, Songhu Guo, Hejiao Huang, and Hongwei Du. "A Two-Layers Heuristic Search Algorithm for Milk Run with a New PDPTW Model." In Combinatorial Optimization and Applications, 379–92. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-64843-5_26.
Повний текст джерелаRuthmair, Mario, and Günther R. Raidl. "A Layered Graph Model and an Adaptive Layers Framework to Solve Delay-Constrained Minimum Tree Problems." In Integer Programming and Combinatoral Optimization, 376–88. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-20807-2_30.
Повний текст джерелаAwasthi, Abhishek, Jörg Lässig, Thomas Weise, and Oliver Kramer. "Tackling Common Due Window Problem with a Two-Layered Approach." In Combinatorial Optimization and Applications, 772–81. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-48749-6_59.
Повний текст джерелаSnapper, Marc L., and Amir H. Hoveyda. "Combinatorial approaches to chiral catalyst discovery." In Combinatorial Chemistry, 433–56. Oxford University PressOxford, 2000. http://dx.doi.org/10.1093/oso/9780199637546.003.0016.
Повний текст джерелаSUZUKI, KYOTARO, HIDEHARU AMANO, and YOSHIYASU TAKEFUJI. "MULTI-LAYER CHANNEL ROUTING PROBLEMS." In Neural Computing for Optimization and Combinatorics, 79–99. WORLD SCIENTIFIC, 1996. http://dx.doi.org/10.1142/9789812832122_0005.
Повний текст джерелаJames, Tabitha, and Cesar Rego. "Path Relinking with Multi-Start Tabu Search for the Quadratic Assignment Problem." In Recent Algorithms and Applications in Swarm Intelligence Research, 52–70. IGI Global, 2013. http://dx.doi.org/10.4018/978-1-4666-2479-5.ch004.
Повний текст джерелаТези доповідей конференцій з теми "Combinatorial optimization layers"
Kul'ment'ev, Аlexander. "Artificial intelligence optimization method for nuclear fuel triso-elements in high-temperature reactor." In IXth INTERNATIONAL SAMSONOV CONFERENCE “MATERIALS SCIENCE OF REFRACTORY COMPOUNDS”. Frantsevich Ukrainian Materials Research Society, 2024. http://dx.doi.org/10.62564/m4-ak2225.
Повний текст джерелаCao, Tianxiao, Lu Sun, Canh Hao Nguyen та Hiroshi Mamitsuka. "Learning Low-Rank Tensor Cores with Probabilistic ℓ0-Regularized Rank Selection for Model Compression". У Thirty-Third International Joint Conference on Artificial Intelligence {IJCAI-24}. California: International Joint Conferences on Artificial Intelligence Organization, 2024. http://dx.doi.org/10.24963/ijcai.2024/418.
Повний текст джерелаBin Sazali, Muhammad Arif, Nahrul Khair Alang Md Rashid, and Khaidzir Hamzah. "Ant Colony Optimization of Multilayer Shielding for Mixed Neutron and Gamma Radiations: A Preliminary Study." In 2017 25th International Conference on Nuclear Engineering. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/icone25-67765.
Повний текст джерелаJurewicz, Mateusz, and Leon Derczynski. "Set Interdependence Transformer: Set-to-Sequence Neural Networks for Permutation Learning and Structure Prediction." 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.2022/434.
Повний текст джерелаMonteiro, Daniel Pereira, Lucas Nardelli de Freitas Botelho Saar, Larissa Ferreira Rodrigues Moreira, and Rodrigo Moreira. "On Enhancing Network Throughput using Reinforcement Learning in Sliced Testbeds." In Workshop de Pesquisa Experimental da Internet do Futuro, 1–7. Sociedade Brasileira de Computação - SBC, 2024. http://dx.doi.org/10.5753/wpeif.2024.2094.
Повний текст джерелаPotebnia, Artem. "Construction of the comprehensive multi-layer graph model of the search spaces associated with the combinatorial optimization problems." In 2017 4th International Scientific-Practical Conference Problems of Infocommunications. Science and Technology (PIC S&T). IEEE, 2017. http://dx.doi.org/10.1109/infocommst.2017.8246398.
Повний текст джерелаLin, Chen-Chou, Yi-Chih Chow, and Yu-Yu Huang. "Geometry Optimization of Cylindrical Flaps of Oscillating Wave Surge Converters Using Artificial Neural Network Models." In ASME 2019 13th International Conference on Energy Sustainability collocated with the ASME 2019 Heat Transfer Summer Conference. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/es2019-3878.
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