Academic literature on the topic 'Quality of Service routing algorithms'

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Journal articles on the topic "Quality of Service routing algorithms"

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Albalas, F. W., B. A. Abu-Alhaija, A. Awajan, A. Awajan, and Khalid Al-Begain. "Quality of Service for Multimedia and Real-Time Services." International Journal of Information Technology and Web Engineering 5, no. 4 (2010): 1–22. http://dx.doi.org/10.4018/jitwe.2010100101.

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New web technologies have encouraged the deployment of various network applications that are rich with multimedia and real-time services. These services demand stringent requirements are defined through Quality of Service (QoS) parameters such as delay, jitter, loss, etc. To guarantee the delivery of these services QoS routing algorithms that deal with multiple metrics are needed. Unfortunately, QoS routing with multiple metrics is considered an NP-complete problem that cannot be solved by a simple algorithm. This paper proposes three source based QoS routing algorithms that find the optimal p
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Prakash Raj, E. George Dharma, Sinthu JanitaPrakash, and S. V. Kasmir Raja. "Analysis of Quality of Service Routing Algorithms." International Journal of Information Technology and Web Engineering 4, no. 2 (2009): 78–89. http://dx.doi.org/10.4018/jitwe.2009040105.

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Anh, Tran Minh, and Nguyen Chien Trinh. "Propose a new algorithm of routing with information collected locally." Journal of Science and Technology: Issue on Information and Communications Technology 2, no. 1 (2016): 70. http://dx.doi.org/10.31130/jst.2016.30.

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The type of algorithm which uses local information collected from source node for Quality of Service (QoS) routing has recently been researched as an alternative to QoS routing algorithms that traditionally use global state information. This algorithm, collecting information from source node only, helps flow routing better and assures more flexibly QoS for network. This trend leads to a new solution for satisfying the higher and higher demand of telecom market in the near future. In this paper, we introduce a new algorithm of routing like that type for assuring the quality of network as well a
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Meongchul Song and S. Sahni. "Approximation algorithms for multiconstrained quality-of-service routing." IEEE Transactions on Computers 55, no. 5 (2006): 603–17. http://dx.doi.org/10.1109/tc.2006.67.

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Xin Yuan. "Heuristic algorithms for multiconstrained quality-of-service routing." IEEE/ACM Transactions on Networking 10, no. 2 (2002): 244–56. http://dx.doi.org/10.1109/90.993305.

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Reeve, J., P. Mars, and T. Hodgkinson. "Learning algorithms for quality of service multicast routing." Electronics Letters 34, no. 12 (1998): 1195. http://dx.doi.org/10.1049/el:19980882.

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Mahseur, Mohammed, and Abdelmadjid Boukra. "Quality of Service (QoS) Optimization in a Multicast Routing." International Journal of Applied Metaheuristic Computing 10, no. 2 (2019): 27–54. http://dx.doi.org/10.4018/ijamc.2019040102.

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Optimizing the QoS of multicast routing with multiple constraints is a NP-hard problem. Thus, the use of approximate methods is unavoidable. This article proposes to modify Bat Algorithm (BA) to solve such problem. BA is a metaheuristic that has been applied to several issues of various fields and has given good results, which has owned him a good reputation in terms of robustness and performance. Like any metaheuristic, BA can be trapped in a local optimum. In order to avoid such problem, the authors propose to hybridize BA with the quantum principle and introduce the chaotic map in the calcu
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Szymanski, Andrzej, Artur Lason, Jacek Rzasa, and Andrzej Jajszczyk. "Grade-of-service-based routing in optical networks [Quality-of-Service-Based Routing Algorithms for Heterogeneous Networks]." IEEE Communications Magazine 45, no. 2 (2007): 82–87. http://dx.doi.org/10.1109/mcom.2007.313400.

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KOYAMA, AKIO, LEONARD BAROLLI, GENCI CAPI, BERNADY O. APDUHAN, JUNPEI ARAI, and ARJAN DURRESI. "AN EFFICIENT MULTI-PURPOSE OPTIMIZATION METHOD FOR QOS ROUTING USING GENETIC ALGORITHM." Journal of Interconnection Networks 05, no. 04 (2004): 409–28. http://dx.doi.org/10.1142/s0219265904001246.

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In order to support multimedia communication, it is necessary to develop routing algorithms that make decisions based on multiple Quality of Service (QoS) parameters. This is because new services such as video on demand and remote meeting systems have multiple QoS requirements. However, the problem of QoS routing is difficult because finding a feasible route with two independent path constraints is NP-complete problem. Also, QoS routing algorithms for broadband networks must be adaptive, flexible, and intelligent for efficient network management. In this paper, we propose a multi-purpose optim
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Mellouk, Abdelhamid, Pascal Lorenz, Azzedine Boukerche, and Moon Ho Lee. "Quality of service based routing algorithms for heterogeneous networks [Guest editorial]." IEEE Communications Magazine 45, no. 2 (2007): 65–66. http://dx.doi.org/10.1109/mcom.2007.313396.

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Dissertations / Theses on the topic "Quality of Service routing algorithms"

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Heidari, Fariba. "Quality of service routing using decentralized learning." Thesis, McGill University, 2009. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=115672.

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This thesis presents several decentralized, learning-based algorithms for on-line routing of bandwidth guaranteed paths. The presented routing algorithms do not need any a-priori knowledge of traffic demand; they use only their locally observed events and update their routing policy using learning schemes. The employed learning algorithms are either learning automata or the multi-armed bandit algorithms. We investigate the asymptotic behavior of the proposed routing algorithms and prove the convergence of one of them to the user equilibrium. Discrete event simulation results show the merit of
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Aldosari, Fahd M. "New quality of service routing algorithms based on local state information : the development and performance evaluation of new bandwidth-constrained and delay-constrained quality of service routing algorithms based on localized routing strategies." Thesis, University of Bradford, 2011. http://hdl.handle.net/10454/5406.

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The exponential growth of Internet applications has created new challenges for the control and administration of large-scale networks, which consist of heterogeneous elements under dynamically changing traffic conditions. These emerging applications need guaranteed service levels, beyond those supported by best-effort networks, to deliver the intended services to the end user. Several models have been proposed for a Quality of Service (QoS) framework that can provide the means to transport these services. It is desirable to find efficient routing strategies that can meet the strict routing req
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Alghamdi, Turki A. "Novel localised quality of service routing algorithms : performance evaluation of some new localised quality of service routing algorithms based on bandwidth and delay as the metrics for candidate path selection." Thesis, University of Bradford, 2010. http://hdl.handle.net/10454/5420.

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The growing demand on the variety of internet applications requires management of large scale networks by efficient Quality of Service (QoS) routing, which considerably contributes to the QoS architecture. The biggest contemporary drawback in the maintenance and distribution of the global state is the increase in communication overheads. Unbalancing in the network, due to the frequent use of the links assigned to the shortest path retaining most of the network loads is regarded as a major problem for best effort service. Localised QoS routing, where the source nodes use statistics collected lo
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Mohammad, Abdulbaset H. T. "Localised Routing Algorithms in Communication Networks with Quality of Service Constraints. Performance Evaluation and Enhancement of New Localised Routing Approaches to Provide Quality of Service for Computer and Communication Networks." Thesis, University of Bradford, 2010. http://hdl.handle.net/10454/5163.

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The Quality of Service (QoS) is a profound concept which is gaining increasing attention in the Internet industry. Best-effort applications are now no longer acceptable in certain situations needing high bandwidth provisioning, low loss and streaming of multimedia applications. New emerging multimedia applications are requiring new levels of quality of services beyond those supported by best-effort networks. Quality of service routing is an essential part in any QoS architecture in communication networks. QoS routing aims to select a path among the many possible choices that has sufficient res
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Li, Ding. "Localised Routing Algorithms with Quality of Service Constraints. Development and performance evaluation by simulation of new localised Quality of Service routing algorithms for communication networks using residual bandwidth and mean end-to-end delay as metrics." Thesis, University of Bradford, 2010. http://hdl.handle.net/10454/4912.

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Localised QoS routing is a relatively new, alternative and viable approach to solve the problems of traditional QoS routing algorithms which use global state information resulting in the imposition of a large communication overhead and route flapping. They make use of a localised view of the network QoS state in source nodes to select paths and route flows to destination nodes. Proportional Sticky Routing (PSR) and Credit Based Routing (CBR) have been proposed as localised QoS routing schemes and these can offer comparable performances. However, since network state information for a specific p
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Mustafa, Elmabrook B. M. "Some new localized quality of service models and algorithms for communication networks : the development and evaluation of new localized quality of service routing algorithms and path selection methods for both flat and hierarchical communication networks." Thesis, University of Bradford, 2009. http://hdl.handle.net/10454/4288.

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The Quality of Service (QoS) routing approach is gaining an increasing interest in the Internet community due to the new emerging Internet applications such as real-time multimedia applications. These applications require better levels of quality of services than those supported by best effort networks. Therefore providing such services is crucial to many real time and multimedia applications which have strict quality of service requirements regarding bandwidth and timeliness of delivery. QoS routing is a major component in any QoS architecture and thus has been studied extensively in the lite
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Alzahrani, Ahmed S. "Localized Quality of Service Routing Algorithms for Communication Networks. The Development and Performance Evaluation of Some New Localized Approaches to Providing Quality of Service Routing in Flat and Hierarchical Topologies for Computer Networks." Thesis, University of Bradford, 2009. http://hdl.handle.net/10454/4254.

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Quality of Service (QoS) routing considered as one of the major components of the QoS framework in communication networks. The concept of QoS routing has emerged from the fact that routers direct traffic from source to destination, depending on data types, network constraints and requirements to achieve network performance efficiency. It has been introduced to administer, monitor and improve the performance of computer networks. Many QoS routing algorithms are used to maximize network performance by balancing traffic distributed over multiple paths. Its major components include bandwidth, dela
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Saint-Guillain, Michael. "Models and algorithms for online stochastic vehicle routing problems." Thesis, Lyon, 2019. http://www.theses.fr/2019LYSEI068.

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Quels seront les objectifs et défis des métropoles de demain ? La plupart des problèmes issus du monde réel sont sujets à l'inconnu, nécessitant de prendre de nouvelles décisions de façon dynamique, à la demande, en fonction des évènements aléatoires qui se réalisent. Dans cette thèse, nous nous attaquons à un problème majeur, du moins en perspectives: la gestion dynamique d'une flotte de véhicules en contexte urbain. Les applications pratiques des tournées de véhicules à la demande sont nombreuses, incluant les transports publics intelligents, les services de livraison, les soins et intervent
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Fathelrahman, T. M. (Tayseer). "QoS routing in IP networks using multi-constrained computational methods." Thesis, Stellenbosch : University of Stellenbosch, 2010. http://hdl.handle.net/10019.1/4098.

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Thesis (MSc (Mathematics))--University of Stellenbosch, 2010.<br>ENGLISH ABSTRACT: In this thesis, we consider the multi-constraints QoS routing problem in IP networks. Namely, we consider the problem of minimizing the path delays on IP networks. We use genetic algorithms to perform the optimization, some penalty function methods and the simulated annealing method for handling the problems constraints. Our aim is to compare the performance of di erent penalty function methods and the simulated annealing method. The penalty function methods under consideration include penalty methods with
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Kiourktsidis, Ilias. "Flexible cross layer design for improved quality of service in MANETs." Thesis, Brunel University, 2011. http://bura.brunel.ac.uk/handle/2438/7464.

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Mobile Ad hoc Networks (MANETs) are becoming increasingly important because of their unique characteristics of connectivity. Several delay sensitive applications are starting to appear in these kinds of networks. Therefore, an issue in concern is to guarantee Quality of Service (QoS) in such constantly changing communication environment. The classical QoS aware solutions that have been used till now in the wired and infrastructure wireless networks are unable to achieve the necessary performance in the MANETs. The specialized protocols designed for multihop ad hoc networks offer basic connecti
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Books on the topic "Quality of Service routing algorithms"

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Nelakuditi, Srihari. Localized Quality of Service Routing for the Internet. Springer US, 2003.

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1965-, Zhang Zhi-Li, ed. Localized quality of service routing for the Internet. Kluwer Academic Publishers, 2003.

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Nelakuditi, Srihari, and Zhi-Li Zhang. Localized Quality of Service Routing for the Internet. Springer US, 2003. http://dx.doi.org/10.1007/978-1-4615-0383-5.

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Frikha, Mounir. Ad hoc networks: Routing, quality of service, and optimization. ISTE, 2011.

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Ad hoc networks: Routing, quality of service, and optimization. ISTE, 2011.

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Nguyen, Hoang Nam. Routing and quality-of-service in broadband LEO satellite networks. Kluwer Academic Publishers, 2003.

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Nguyen, Hoang Nam. Routing and Quality-of-Service in Broadband LEO Satellite Networks. Springer US, 2003.

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Nguyen, Hoang Nam. Routing and Quality-of-Service in Broadband LEO Satellite Networks. Springer US, 2003. http://dx.doi.org/10.1007/978-1-4615-0249-4.

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Hybrid algorithms for service, computing and manufacturing systems: Routing and scheduling solutions. Information Science Reference, 2012.

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Josep, Solé-Pareta, Workshop on Quality of Service Routing (1st : 2004 : Barcelona, Spain), and International Workshop on Internet Charging and QoS Technologies (4th : 2004 : Barcelona, Spain), eds. Quality of service in the emerging networking panorama: Fifth International Workshop on Quality of Future Internet Services, QofIS 2004, and First Workshop on Quality of Service Routing, WQoSR 2004, and Fourth International Workshop on Internet Charging and QoS Technology, ICQT 2004, Barcelona, Catalonia, Spain, September 29-October 1, 2004 : proceedings. Springer, 2004.

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Book chapters on the topic "Quality of Service routing algorithms"

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Juidette, Hicham, Noureddine Idboufker, and Abdelghfour Berraissoul. "An Adaptive QoS-routing Algorithm for IP Networks Using Genetic Algorithms." In Quality of Service in Multiservice IP Networks. Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/3-540-36480-3_6.

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Levendovszky, János, Alpár Fancsali, Csaba Végso, and Gábor Rétvári. "QoS Routing with Incomplete Information by Analog Computing Algorithms." In Quality of Future Internet Services. Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/3-540-45412-8_10.

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Capone, Antonio, Luca Coletti, and Marco Zambardi. "QoS Routing in Multi-hop Wireless Networks: A New Model and Algorithm." In Quality of Service in Multiservice IP Networks. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/978-3-540-30573-6_42.

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Yen, Yun-Sheng, Chih-Shan Liao, Ruay-Shiung Chang, Han-Chieh Chao, and Wei-Ming Chen. "An Energy-Aware Quality of Services Routing Protocol in Mobile Ad Hoc Networks." In Wireless Algorithms, Systems, and Applications. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11814856_55.

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Virmani, Deepali, and Satbir Jain. "Quality of Service On-demand Power Aware Routing Algorithm for Wireless Sensor Networks." In Communications in Computer and Information Science. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-12214-9_46.

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Van Mieghem, P., F. A. Kuipers, T. Korkmaz, et al. "Quality of Service Routing." In Quality of Future Internet Services. Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-540-45190-7_3.

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Ghosh, Donna, Venkatesh Sarangan, and Raj Acharya. "Distributed Quality of Service Routing." In High Performance Computing — HiPC 2000. Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/3-540-44467-x_40.

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Zlatokrilov, Haim, and Hanoch Levy. "Privacy and Reliability by Dispersive Routing." In Quality of Service – IWQoS 2005. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11499169_33.

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Nelakuditi, Srihari, and Zhi-Li Zhang. "Hierarchical Proportional Routing." In Localized Quality of Service Routing for the Internet. Springer US, 2003. http://dx.doi.org/10.1007/978-1-4615-0383-5_7.

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Masip-Bruin, Xavier, Sergio Sánchez-López, Josep Solé-Pareta, and Jordi Dominigo-Pascual. "A QoS Routing Mechanism for Reducing the Routing Inaccuracy Effects." In Quality of Service in Multiservice IP Networks. Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/3-540-36480-3_7.

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Conference papers on the topic "Quality of Service routing algorithms"

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Curtis, Andrew R., Ross M. McConnell, and Dan Massey. "Efficient Algorithms For Optimizing Policy-Constrained Routing." In 2007 Fifteenth IEEE International Workshop on Quality of Service. IEEE, 2007. http://dx.doi.org/10.1109/iwqos.2007.376556.

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Koundinya K, A., A. Negi, and V. N. Sastry. "Unicast routing algorithm with multiple quality-of-service parameters." In 7th International Symposium on Parallel Architectures, Algorithms and Networks, 2004. Proceedings. IEEE, 2004. http://dx.doi.org/10.1109/ispan.2004.1300531.

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Huang, Jun, and Yoshiaki Tanaka. "QoS routing algorithms using fully polynomial time approximation scheme." In 2011 IEEE 19th International Workshop on Quality of Service (IWQoS). IEEE, 2011. http://dx.doi.org/10.1109/iwqos.2011.5931329.

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Lee, Meng-Wei, Yu-Sian Li, Xin Huang, Yi-Ren Chen, Ting-Fang Hou, and Cheng-Hsin Hsu. "Robust multipath multicast routing algorithms for videos in Software-Defined Networks." In 2014 IEEE 22nd International Symposium of Quality of Service (IWQoS). IEEE, 2014. http://dx.doi.org/10.1109/iwqos.2014.6914322.

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Geng, Haijun, Xingang Shi, Xia Yin, Zhiliang Wang, and Han Zhang. "Algebra and algorithms for efficient and correct multipath QoS routing in link state networks." In 2015 IEEE 23rd International Symposium on Quality of Service (IWQoS). IEEE, 2015. http://dx.doi.org/10.1109/iwqos.2015.7404744.

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Yuan, Enpeng, and Pascal Van Hentenryck. "Real-Time Pricing Optimization for Ride-Hailing Quality of Service." In Thirtieth International Joint Conference on Artificial Intelligence {IJCAI-21}. International Joint Conferences on Artificial Intelligence Organization, 2021. http://dx.doi.org/10.24963/ijcai.2021/515.

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When demand increases beyond the system capacity, riders in ride-hailing/ride-sharing systems often experience long waiting time, resulting in poor customer satisfaction. This paper proposes a spatio-temporal pricing framework (AP-RTRS) to alleviate this challenge and shows how it naturally complements state-of-the-art dispatching and routing algorithms. Specifically, the pricing optimization model regulates demand to ensure that every rider opting to use the system is served within reason-able time: it does so either by reducing demand to meet the capacity constraints or by prompting potentia
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Fialho De Queiroz Lafeta, Thiago, Marcos Luiz de Paula Bueno, Christiane Regina Soares Brasil, and Gina Maira Barbosa de Oliveira. "Many-Objective Evolutionary Algorithms for Multicast Routing with Quality of Service Problem." In 2016 5th Brazilian Conference on Intelligent Systems (BRACIS). IEEE, 2016. http://dx.doi.org/10.1109/bracis.2016.043.

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Iqbal, M. Z. "A multiple path constraint quality of service routing algorithm." In International Multi Topic Conference, 2002. Abstracts. INMIC 2002. IEEE, 2002. http://dx.doi.org/10.1109/inmic.2002.1310178.

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Saliba, Chris, and Reuben A. Farrugia. "Quality of service aware Ant Colony Optimization Routing Algorithm." In Melecon 2010 - 2010 15th IEEE Mediterranean Electrotechnical Conference. IEEE, 2010. http://dx.doi.org/10.1109/melcon.2010.5476267.

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Rao, Meena, and Neeta Singh. "Quality of service enhancement in MANETs with an efficient routing algorithm." In 2014 IEEE International Advance Computing Conference (IACC). IEEE, 2014. http://dx.doi.org/10.1109/iadcc.2014.6779353.

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Reports on the topic "Quality of Service routing algorithms"

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Gelenbe, Erol. Mathematical Models by Quality of Service Driven Routing in Networks. Defense Technical Information Center, 2005. http://dx.doi.org/10.21236/ada436700.

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Gelenbe, Erol. Mathematical Models for Quality of Service Driven Routing in Networks. Defense Technical Information Center, 2005. http://dx.doi.org/10.21236/ada441501.

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Arhin, Stephen, Babin Manandhar, Hamdiat Baba Adam, and Adam Gatiba. Predicting Bus Travel Times in Washington, DC Using Artificial Neural Networks (ANNs). Mineta Transportation Institute, 2021. http://dx.doi.org/10.31979/mti.2021.1943.

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Washington, DC is ranked second among cities in terms of highest public transit commuters in the United States, with approximately 9% of the working population using the Washington Metropolitan Area Transit Authority (WMATA) Metrobuses to commute. Deducing accurate travel times of these metrobuses is an important task for transit authorities to provide reliable service to its patrons. This study, using Artificial Neural Networks (ANN), developed prediction models for transit buses to assist decision-makers to improve service quality and patronage. For this study, we used six months of Automati
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