Auswahl der wissenschaftlichen Literatur zum Thema „Bi-level dynamic programming“
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Zeitschriftenartikel zum Thema "Bi-level dynamic programming"
Singh, Vishnu Pratap. „On Solving Linguistic Bi-Level Programming Problem Using Dynamic Programming“. International Journal of Fuzzy System Applications 10, Nr. 1 (Januar 2021): 43–63. http://dx.doi.org/10.4018/ijfsa.2021010103.
Der volle Inhalt der QuelleLu, Ting, Zhongzhen Yang, Dongfang Ma und Sheng Jin. „Bi-Level Programming Model for Dynamic Reversible Lane Assignment“. IEEE Access 6 (2018): 71592–601. http://dx.doi.org/10.1109/access.2018.2881290.
Der volle Inhalt der QuelleABO-SINNA, MAHMOUD A., und Azza H. Amer. „An Interactive Dynamic Fuzzy Goal Programming for Bi-level Multiobjective Linear Fractional Programming Problems.“ JOURNAL OF ADVANCES IN MATHEMATICS 12, Nr. 12 (28.02.2017): 6991–7007. http://dx.doi.org/10.24297/jam.v12i12.3720.
Der volle Inhalt der QuelleYao, Liming, Zhongwen Xu, Mahdi Moudi und Zongmin Li. „Optimal water allocation in Iran: a dynamic bi-level programming model“. Water Supply 19, Nr. 4 (27.09.2018): 1120–28. http://dx.doi.org/10.2166/ws.2018.165.
Der volle Inhalt der QuelleLin, Dung-Ying, Avinash Unnikrishnan und S. Waller. „A genetic algorithm for bi-level linear programming dynamic network design problem“. Transportation Letters 1, Nr. 4 (Oktober 2009): 281–94. http://dx.doi.org/10.3328/tl.2009.01.04.281-294.
Der volle Inhalt der QuelleSun, Dazhi, Rahim F. Benekohal und S. Travis Waller. „Bi-level Programming Formulation and Heuristic Solution Approach for Dynamic Traffic Signal Optimization“. Computer-Aided Civil and Infrastructure Engineering 21, Nr. 5 (Juli 2006): 321–33. http://dx.doi.org/10.1111/j.1467-8667.2006.00439.x.
Der volle Inhalt der QuelleBaozhuang, Niu. „A dynamic pricing model for postponement supply chain: the bi-level programming approach“. International Journal of Logistics Economics and Globalisation 1, Nr. 3/4 (2008): 383. http://dx.doi.org/10.1504/ijleg.2008.023169.
Der volle Inhalt der QuelleLi, Minghua, Chengyong Xu, Yan Xu, Li Ma und Yun Wei. „Dynamic Sign Guidance Optimization for Crowd Evacuation considering Flow Equilibrium“. Journal of Advanced Transportation 2022 (21.01.2022): 1–19. http://dx.doi.org/10.1155/2022/2555350.
Der volle Inhalt der QuelleWong, Jui-Tsung, Chwen-Tzeng Su und Chun-Hsien Wang. „Stochastic dynamic lot-sizing problem using bi-level programming base on artificial intelligence techniques“. Applied Mathematical Modelling 36, Nr. 5 (Mai 2012): 2003–16. http://dx.doi.org/10.1016/j.apm.2011.08.017.
Der volle Inhalt der QuelleSoleimani-Alyar, Maryam, und Alireza Ghaffari-Hadigheh. „Dynamic Network Interdiction Problem with Uncertain Data“. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 26, Nr. 02 (April 2018): 327–42. http://dx.doi.org/10.1142/s0218488518500174.
Der volle Inhalt der QuelleDissertationen zum Thema "Bi-level dynamic programming"
Guemri, Mouloud. „Heuristiques optimisées et robustes de résolution du problème de gestion d'énergie pour les véhicules électriques et hybrides“. Phd thesis, Institut National Polytechnique de Toulouse - INPT, 2013. http://tel.archives-ouvertes.fr/tel-00916394.
Der volle Inhalt der QuelleAbdel-Razzac, Amal. „Cooperation between LTE and emergent DVB technologies for an efficient delivery of mobile TV“. Electronic Thesis or Diss., Paris 6, 2015. https://accesdistant.sorbonne-universite.fr/login?url=https://theses-intra.sorbonne-universite.fr/2015PA066036.pdf.
Der volle Inhalt der QuelleThe broadcast/cellular cooperation for a common delivery of Mobile TV is at the heart of the emerging mobile broadcast technologies, namely the mobile extension of the second generation digital video broadcasting for terrestrial reception (DVB-T2 Lite) and its follower DVB-Next Generation Handheld (DVB-NGH). These broadcast technologies aim to cooperate with the Long Term Evolution (LTE), as the latter is intended to be the bearer of Mobile TV thanks to its enhanced-Multimedia Broadcast and Multicast Service feature (e-MBMS). Even though the 3GPP/DVB cooperation is not a new topic and was investigated with the introduction of the previous DVB technology, known as DVB-Handheld (DVB-H), most of the works addressing this issue considered a common service area covered by both DVB and cellular systems and focused solely on the impact of such cooperation in terms of capacity gains brought by 3GPP and error repair gains brought by DVB. This strategy was judged to be expensive since a new and very dense DVB network was needed. In order to overcome this problem and decrease as much as possible the need for a new broadcast network, we propose in this thesis a hybrid DVB/LTE network with a coverage extension strategy, where the LTE system, planned for almost a universal coverage, is used to deliver Mobile TV in areas not covered by recent DVB-T2 Lite (or eventually DVB-NGH) network. In this context, we explore two main issues:1. Mobile TV services have to share LTE resources with other higher priority services such as voice traffic. The dynamicity of the latter will impact the Quality of Service (QoS) of Mobile TV. We propose a new QoS-based planning for the hybrid DVB/LTE so as to guarantee an acceptable watching experience without over-dimensioning the LTE system. We derive using Markov chain analysis and hitting time theory, several QoS metrics pertaining to mobile TV performance, such as interruption frequency and duration.2. A new business model which clarifies the relationships between the different actors of the ecosystem namely DVB and LTE operators as well as the TV channel providers and constructs the service area from an economic point of view is needed. In fact, the absence of a clear and viable economic model that resolves the monetary conflicts between cellular and broadcast operators was one of the main drawbacks behind the failure of the first attempt of mobile TV delivery by cooperating UMTS/DVB-H. We develop in this thesis a profit sharing strategy for the cooperative network, using coalition game concept Shapley value and Nash equilibrium for a self-enforcing strategy. We further develop a new framework using real option theory coupled with coalition games for investment decision in mobile TV networks (whether an operator should enter the mobile TV market and, if yes, when to do so) and show how operators can incorporate the uncertainties related to demand and network operation costs. We propose a bi-level dynamic programming algorithm to solve numerically the developed real option game
Hsiao-Chi, Peng, und 彭曉琪. „Dynamic User Equilibrium Doubly Constrained Origin-Destination /Departure Time/ Route Choice Bi-level Programming Model“. Thesis, 2001. http://ndltd.ncl.edu.tw/handle/27838548984279748782.
Der volle Inhalt der Quelle國立中央大學
土木工程研究所
89
Abstract This thesis, as follow-up study of Ying-Chun CHEN(1999), Tsung-Yi LEE(2000), attempts to further some important issues based on the dynamic user-equilibrium doubly constrained origin-destination /departure time/route choice model formulated using variational inequality approach and the solution algorithm of my model is using streamlined diagonalization lagrangian(GP) method to solves super network problem. As a result of road has link capacity constraint in the actual network, in order to my model conform to practicality condition, attempt to incorporate inflow link capacity constrained into it, and formulated the dynamic capacitated user-equilibrium doubly constrained origin-destination/departure time/route choice model. And numerical examples are provided for test and analysis. That uses bi-level programming method to formulate the dynamic signal timings control (DSTC) model. The upper level is dynamic signal timings optimal model, it tries to minimum the total travel cost by allocating the green times and determining link capacities, and the lower level is dynamic user-equilibrium doubly constrained origin-destination /departure time/route choice model, based on the fixed link capacities , searches the shortest travel time time-route for use. In accordance with variational inequality sensitivity analysis theory attain sensitivity analysis information by generalized inverse approach and developing solution algorithm. Finally, making several numerical examples to verify this research is correctly.
Konferenzberichte zum Thema "Bi-level dynamic programming"
Zhang, Shuai, Xinyi Zhang und Peng Wu. „Optimal dynamic bus lane reservation via bi-level programming“. In 2022 IEEE International Conference on Networking, Sensing and Control (ICNSC). IEEE, 2022. http://dx.doi.org/10.1109/icnsc55942.2022.10004089.
Der volle Inhalt der QuelleShouping, Gui, und Niu Baozhuang. „A Dynamic Pricing Model for Postponement Supply Chain: The Bi-level Programming Approach“. In 2007 International Conference on Computational Intelligence and Security Workshops (CISW 2007). IEEE, 2007. http://dx.doi.org/10.1109/cisw.2007.4425566.
Der volle Inhalt der QuelleSong, Guotao, Su Guo und Deyou Liu. „Bi-level programming method for integrated energy system considering thermal dynamic operation characteristics of pipelines and efficiency characteristics of devices“. In 2021 IEEE 4th International Electrical and Energy Conference (CIEEC). IEEE, 2021. http://dx.doi.org/10.1109/cieec50170.2021.9510830.
Der volle Inhalt der QuelleChen, Li, Huachao Dong und Zuomin Dong. „Integrated System Design and Control Optimization of Hybrid Electric Propulsion System Using a Bi-Level, Nested Approach“. In ASME 2019 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/detc2019-97456.
Der volle Inhalt der QuelleFebbo, Huckleberry, Tulga Ersal und Jeffrey L. Stein. „A Combined Plant/Controller Optimization Framework for Hybrid Vehicles With MPG, Emissions and Drivability Considerations“. In ASME 2016 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/detc2016-60335.
Der volle Inhalt der QuelleTaaghi, Amirhossein, und Yongsoon Yoon. „Optimal Control Co-Design of a Parallel Electric-Hydraulic Hybrid Vehicle“. In WCX SAE World Congress Experience. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 2024. http://dx.doi.org/10.4271/2024-01-2154.
Der volle Inhalt der QuelleBerichte der Organisationen zum Thema "Bi-level dynamic programming"
She, Ruifeng, und Yanfeng Ouyang. Generalized Link-Cost Function and Network Design for Dedicated Truck-Platoon Lanes to Improve Energy, Pavement Sustainability, and Traffic Efficiency. Illinois Center for Transportation, November 2021. http://dx.doi.org/10.36501/0197-9191/21-037.
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