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Relevant bibliographies by topics / BILEVEL PROGRAMMING FRAMEWORK

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Academic literature on the topic 'BILEVEL PROGRAMMING FRAMEWORK'

Author: Grafiati

Published: 11 September 2023

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Journal articles on the topic "BILEVEL PROGRAMMING FRAMEWORK"

1

Ryu, Jun-Hyung, Vivek Dua, and Efstratios N. Pistikopoulos. "A bilevel programming framework for enterprise-wide process networks under uncertainty." Computers & Chemical Engineering 28, no. 6-7 (2004): 1121–29. http://dx.doi.org/10.1016/j.compchemeng.2003.09.021.

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2

Alnowibet, Khalid A., Ahmad M. Alshamrani, and Adel F. Alrasheedi. "A Bilevel Stochastic Optimization Framework for Market-Oriented Transmission Expansion Planning Considering Market Power." Energies 16, no. 7 (2023): 3256. http://dx.doi.org/10.3390/en16073256.

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Market power, defined as the ability to raise prices above competitive levels profitably, continues to be a prime concern in the restructured electricity markets. Market power must be mitigated to improve market performance and avoid inefficient generation investment, price volatility, and overpayment in power systems. For this reason, involving market power in the transmission expansion planning (TEP) problem is essential for ensuring the efficient operation of the electricity markets. In this regard, a methodological bilevel stochastic framework for the TEP problem that explicitly includes t

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3

Park, Minyoung, and Amelia Regan. "Capacity Modeling in Transportation." Transportation Research Record: Journal of the Transportation Research Board 1906, no. 1 (2005): 97–104. http://dx.doi.org/10.1177/0361198105190600112.

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A conceptual framework is presented for modeling the capacity of multimodal freight transportation networks. A review is provided on the evolution of capacity models for use in transportation systems planning and investment, and recent advances toward a system-oriented, multimodal capacity model are discussed in depth. A logical network capacity model based on bilevel programming is proposed.

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4

Fernandez-Blanco, Ricardo, José M. Arroyo, and Natalia Alguacil. "A Unified Bilevel Programming Framework for Price-Based Market Clearing Under Marginal Pricing." IEEE Transactions on Power Systems 27, no. 1 (2012): 517–25. http://dx.doi.org/10.1109/tpwrs.2011.2161348.

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5

Zang, Guangzhi, Meng Xu, and Ziyou Gao. "High-occupancy Vehicle Lanes and Tradable Credits Scheme for Traffic Congestion Management: A Bilevel Programming Approach." PROMET - Traffic&Transportation 30, no. 1 (2018): 1–10. http://dx.doi.org/10.7307/ptt.v30i1.2300.

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High-occupancy vehicle (HOV) lanes, which are designed so as to encourage more people to use high-capacity travel modes and thus move more people in a single roadway lane, have been implemented as a lane management measure to deal with the growing traffic congestion in practice. However, the implementation has shown that some HOV lanes are not able to achieve the expected effects without proper HOV lane settings. In this study, the tradable credits scheme (TCS) is introduced to improve the HOV lane management and an optimal capacity of HOV lanes in a multilane highway is investigated to match

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6

Chen, Hui-Ju. "A two-level vertex-searching global algorithm framework for bilevel linear fractional programming problems." Systems Science & Control Engineering 8, no. 1 (2020): 488–99. http://dx.doi.org/10.1080/21642583.2020.1805815.

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7

Burgard, Anthony P., Priti Pharkya, and Costas D. Maranas. "Optknock: A bilevel programming framework for identifying gene knockout strategies for microbial strain optimization." Biotechnology and Bioengineering 84, no. 6 (2003): 647–57. http://dx.doi.org/10.1002/bit.10803.

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8

Epshteyn, A., and G. DeJong. "Generative Prior Knowledge for Discriminative Classification." Journal of Artificial Intelligence Research 27 (September 25, 2006): 25–53. http://dx.doi.org/10.1613/jair.1934.

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We present a novel framework for integrating prior knowledge into discriminative classifiers. Our framework allows discriminative classifiers such as Support Vector Machines (SVMs) to utilize prior knowledge specified in the generative setting. The dual objective of fitting the data and respecting prior knowledge is formulated as a bilevel program, which is solved (approximately) via iterative application of second-order cone programming. To test our approach, we consider the problem of using WordNet (a semantic database of English language) to improve low-sample classification accuracy of new

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9

Yang, Xia, Chenyang Wang, Xiaozheng He, Hedi Zhang, and Guangming Xu. "Location Optimization for Community Smart Parcel Lockers Based on Bilevel Programming." Journal of Advanced Transportation 2023 (June 2, 2023): 1–18. http://dx.doi.org/10.1155/2023/1998188.

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With the rapid development of e-commerce and the dramatic upsurge in direct-to-consumer deliveries, the last-mile problem has become increasingly apparent. With the distinct advantages of bringing economies of scale and providing 24/7 contactless self-service, smart parcel lockers play a critical role in solving the last-mile problem. However, due to a lack of planning, myopia expansion, and an ambiguous profit model, smart parcel locker suppliers in China have been suffering huge economic losses, restricting their further development. In the study, on the basis of an in-depth analysis of the

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10

Kalashnikov, Vyacheslav V., and Roger Z. Ríos-Mercado. "A natural gas cash-out problem: A bilevel programming framework and a penalty function method." Optimization and Engineering 7, no. 4 (2006): 403–20. http://dx.doi.org/10.1007/s11081-006-0347-z.

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