Relevant bibliographies by topics / Reactive scheduling

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Reactive scheduling'

Author: Grafiati
Published: 4 June 2021
Last updated: 11 February 2022

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Journal articles on the topic "Reactive scheduling"

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SAKAGUCHI, Tatsuhiko, Yoshitaka TANIMIZU, Tsuyoshi MIYAMAE, Yasuhiro MAEDA, Keiichi SHIRASE, and Nobuhiro SUGIMURA. "Improvement of crossover operator in genetic algorithm for reactive scheduling(Manufacturing systems and Scheduling)." Proceedings of International Conference on Leading Edge Manufacturing in 21st century : LEM21 2005.2 (2005): 427–32. http://dx.doi.org/10.1299/jsmelem.2005.2.427.

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SPRATT, BELINDA. "REACTIVE OPERATING THEATRE SCHEDULING." Bulletin of the Australian Mathematical Society 98, no. 3 (2018): 520–21. http://dx.doi.org/10.1017/s0004972718000631.

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SZELKE, ELIZABETH, and ROGER M. KERR. "Knowledge-based reactive scheduling." Production Planning & Control 5, no. 2 (1994): 124–45. http://dx.doi.org/10.1080/09537289408919480.

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Wang, Jun Liang, Jie Zhang, and Wei Qin. "GA-Based Proactive-Reactive Scheduling Mechanism for a Flexible Job Shop Problem under Multi-Uncertainty." Key Engineering Materials 620 (August 2014): 668–75. http://dx.doi.org/10.4028/www.scientific.net/kem.620.668.

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This article investigates the flexible job-shop scheduling problem (FJSP) with multi-uncertain. A proactive-reactive scheduling mechanism is put forward to against the fluctuating process time and equipment breakdowns. This mechanism consists of two stages, including proactive scheduling stage and reactive scheduling stage. In the proactive scheduling stage, the redundancy-based technique is used to generate robust baseline schedules; in the reactive scheduling stage, a reactive scheduling is adopted to rectify the predictive scheduling to adapt to the occurrence of machine failures. Based on
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Gokila, L., V. Poongodi, and Dr K. Thangadurai. "Multi Scheduling Reactive Resource Sharing for Dynamic Dataflow in Cloud Environment." Bonfring International Journal of Data Mining 6, no. 4 (2016): 46–52. http://dx.doi.org/10.9756/bijdm.8307.

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Bharadwaj, Anandhi, Ajay S. Vinze, and Arun Sen. "Blackboard architecture for reactive scheduling." Expert Systems with Applications 7, no. 1 (1994): 55–65. http://dx.doi.org/10.1016/0957-4174(94)90026-4.

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Li, Zukui, and Marianthi G. Ierapetritou. "Reactive scheduling using parametric programming." AIChE Journal 54, no. 10 (2008): 2610–23. http://dx.doi.org/10.1002/aic.11593.

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SAKAGUCHI, Tatsuhiko, Hidetoshi KAMIMURA, and Keiichi SHIRASE. "Computational Simulation for Decision of Scheduling Period in Reactive Scheduling." Proceedings of International Conference on Leading Edge Manufacturing in 21st century : LEM21 2007.4 (2007): 8F618. http://dx.doi.org/10.1299/jsmelem.2007.4.8f618.

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SAKAGUCHI, Tatsuhiko, Toshihide KAMIMURA, and Keiichi SHIRASE. "Computational Simulation for Decision of Scheduling Period in Reactive Scheduling." Journal of Advanced Mechanical Design, Systems, and Manufacturing 2, no. 4 (2008): 753–61. http://dx.doi.org/10.1299/jamdsm.2.753.

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Dhingra, J. S., K. L. Musser, and G. L. Blankenship. "Reactive Operations Scheduling for Manufacturing Systems." IFAC Proceedings Volumes 25, no. 28 (1992): 271–75. http://dx.doi.org/10.1016/s1474-6670(17)49508-5.

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Dissertations / Theses on the topic "Reactive scheduling"

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Commander, Clayton W., Sergiy I. Butenko, Panos M. Pardalos, and Carlos A. S. Oliveira. "REACTIVE GRASP WITH PATH RELINKING FOR BROADCAST SCHEDULING." International Foundation for Telemetering, 2004. http://hdl.handle.net/10150/605798.

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International Telemetering Conference Proceedings / October 18-21, 2004 / Town & Country Resort, San Diego, California<br>The Broadcast Scheduling Problem (BSP) is a well known NP-complete problem that arises in the study of wireless networks. In the BSP, a finite set of stations are to be scheduled in a time division multiple access (TDMA) frame. The objective is a collision free transmission schedule with the minimum number of TDMA slots and maximal slot utilization. Such a schedule will minimize the total system delay. We present variations of a Greedy Randomized Adaptive Search Procedure (
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Hernandez, Jesus Israel. "Reactive scheduling of DAG applications on heterogeneous and dynamic distributed computing systems." Thesis, University of Edinburgh, 2008. http://hdl.handle.net/1842/2336.

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Emerging technologies enable a set of distributed resources across a network to be linked together and used in a coordinated fashion to solve a particular parallel application at the same time. Such applications are often abstracted as directed acyclic graphs (DAGs), in which vertices represent application tasks and edges represent data dependencies between tasks. Effective scheduling mechanisms for DAG applications are essential to exploit the tremendous potential of computational resources. The core issues are that the availability and performance of resources, which are already by their nat
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Zhang, Ping. "An interactive and reactive system for integration of process planning and scheduling." Thesis, University of Huddersfield, 2004. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.405181.

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Archer, Sandra. "STOCHASTIC RESOURCE CONSTRAINED PROJECT SCHEDULING WITH STOCHASTIC TASK INSERTION PROBLEMS." Doctoral diss., University of Central Florida, 2008. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/3520.

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The area of focus for this research is the Stochastic Resource Constrained Project Scheduling Problem (SRCPSP) with Stochastic Task Insertion (STI). The STI problem is a specific form of the SRCPSP, which may be considered to be a cross between two types of problems in the general form: the Stochastic Project Scheduling Problem, and the Resource Constrained Project Scheduling Problem. The stochastic nature of this problem is in the occurrence/non-occurrence of tasks with deterministic duration. Researchers Selim (2002) and Grey (2007) laid the groundwork for the research on this problem. Selim
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Nguyen, Vu Thien Nga. "An efficient execution model for reactive stream programs." Thesis, University of Hertfordshire, 2015. http://hdl.handle.net/2299/16361.

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Stream programming is a paradigm where a program is structured by a set of computational nodes connected by streams. Focusing on data moving between computational nodes via streams, this programming model fits well for applications that process long sequences of data. We call such applications reactive stream programs (RSPs) to distinguish them from stream programs with rather small and finite input data. In stream programming, concurrency is expressed implicitly via communication streams. This helps to reduce the complexity of parallel programming. For this reason, stream programming has gain
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Nureldin, Hazem M. "An artificial neural network architecture system for real time reactive scheduling and control." Thesis, University of Birmingham, 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.246499.

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Volk, Rebekka [Verfasser]. "Proactive-reactive, robust scheduling and capacity planning of deconstruction projects under uncertainty / Rebekka Volk." Karlsruhe : KIT Scientific Publishing, 2017. http://www.ksp.kit.edu.

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Phulpin, Yannick Dominique. "Coordination of reactive power scheduling in a multi-area power system operated by independent utilities." Diss., Atlanta, Ga. : Georgia Institute of Technology, 2009. http://hdl.handle.net/1853/31638.

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Thesis (Ph.D)--Electrical and Computer Engineering, Georgia Institute of Technology, 2010.<br>Committee Chair: Begovic, Miroslav; Committee Member: Divan, Deepak; Committee Member: Harley, Ron; Committee Member: Petit, Marc; Committee Member: Verriest, Erik. Part of the SMARTech Electronic Thesis and Dissertation Collection.
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Koo, Ja-Ryeong. "Global scheduling on temperature-constrained multiprocessor real-time systems." Texas A&M University, 2008. http://hdl.handle.net/1969.1/85913.

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In this thesis, we study temperature-constrained multiprocessor real-time systems, where real-time guarantees must be met without exceeding safe temperature levels within the processors. We focus on Pfair scheduling algorithms, especially ERfair scheduling scheme (a work-conserving extension to Pfair scheduling) as our main multiprocessor real-time scheduling methodology. Then, we study the benefits of simple reactive speed scaling as described in the real-time multiprocessor systems. In this thesis, in support of the temperature-awareness, we extend the applicability of the reactive speed sca
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Zhao, Weihong. "A concurrent and reactive system for process planning and scheduling for agile manufacturing in an ETO environment." Thesis, University of Huddersfield, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.274228.

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Books on the topic "Reactive scheduling"

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Kerr, Roger, and Elizabeth Szelke, eds. Artificial Intelligence in Reactive Scheduling. Springer US, 1995. http://dx.doi.org/10.1007/978-0-387-34928-2.

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1940-, Szelke Elizabeth, and Kerr Roger M. 1944-, eds. Knowledge-based reactive scheduling: Proceedings of the IFIP TC5/WG5.7 International Workshop on Knowledge-Based Reactive Scheduling, Athens, Greece, 1 October, 1993. North-Holland, 1994.

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Nureldin, Hazem M. An artificial neural netowork architecture for real-time reactive scheduling and control. University of Birmingham, 2001.

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Kerr, R., and E. Szelke. Artificial Intelligence in Reactive Scheduling. Springer, 1996.

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National Institute of Standards and Technology (U.S.), ed. Integration strategies for the reactive scheduling. U.S. Dept. of Commerce, Technology Administration, National Institute of Standards and Technology, 1998.

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Kerr, Roger. Artificial Intelligence in Reactive Scheduling (IFIP International Federation for Information Processing). Springer, 1995.

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Tc5, Ifip, Wg5 7. International Workshop on Knowledge-Based Reactive sche, and Elizabeth Szelke. Knowledge-Based Reactive Scheduling: Proceedings of the Ifip Tc5/Wg5.7 International Workshop on Knowledge-Based Reactive Scheduling Athens, Greece, (Ifip ... B, Applications in Technology, B-15). North-Holland, 1994.

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Book chapters on the topic "Reactive scheduling"

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Smith, Stephen F. "Reactive Scheduling Systems." In Intelligent Scheduling Systems. Springer US, 1995. http://dx.doi.org/10.1007/978-1-4615-2263-8_7.

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Terpstra, Victor J., and Henk B. Verbruggen. "Reactive Batch Scheduling." In Artificial Intelligence in Industrial Decision Making, Control and Automation. Springer Netherlands, 1995. http://dx.doi.org/10.1007/978-94-011-0305-3_23.

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Vázquez Álvarez, Antonio José, and Richard Scott Erwin. "Reactive Satellite Range Scheduling." In An Introduction to Optimal Satellite Range Scheduling. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-25409-8_7.

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Dorn, Jürgen. "Case-based reactive scheduling." In IFIP Advances in Information and Communication Technology. Springer US, 1995. http://dx.doi.org/10.1007/978-0-387-34928-2_4.

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Garner, B. J., and G. J. Ridley. "Knowledge acquisition for reactive scheduling." In IFIP Advances in Information and Communication Technology. Springer US, 1995. http://dx.doi.org/10.1007/978-0-387-34928-2_12.

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Sauer, Jürgen, and Tay Jin Chua. "Fuzzy Predictive and Reactive Scheduling." In Soft Computing for Business Intelligence. Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-53737-0_19.

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He, Yumin, Yaohu Lin, Hongbo Liu, and Mengpeng Guo. "Reactive Scheduling by Intelligent DSS." In Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-85874-2_28.

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Liu, Zhiming, and Mathai Joseph. "Formalizing real-time scheduling as program refinement." In Transformation-Based Reactive Systems Development. Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/3-540-63010-4_20.

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Garetti, M., and M. Taisch. "Using neural networks for reactive scheduling." In IFIP Advances in Information and Communication Technology. Springer US, 1995. http://dx.doi.org/10.1007/978-0-387-34928-2_11.

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Schmidt, Günter, and Evelina Jacob. "Online-algorithms for reactive vehicle scheduling." In IFIP Advances in Information and Communication Technology. Springer US, 1995. http://dx.doi.org/10.1007/978-0-387-34928-2_5.

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Conference papers on the topic "Reactive scheduling"

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Sun, J., D. Xue, and D. H. Norrie. "An Intelligent Manufacturing System for Predictive Scheduling and Reactive Scheduling." In ASME 2000 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2000. http://dx.doi.org/10.1115/detc2000/cie-14668.

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Abstract This research introduces an intelligent, distributed approach for predictive scheduling and reactive scheduling. Product descriptions and their manufacturing requirements are represented using a feature-based modeling scheme. Manufacturing resources, including facilities and persons, are modeled as agents. In predictive scheduling, the optimal production schedule is identified through heuristic search and agent-based negotiation. In reactive scheduling, the original schedule is modified for responding to the changes of orders and resources through a match-up approach and agent-based n
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Berwein, Juergen, Aleksei Pavlov, Florian Briegel, Wolfgang Gaessler, and Clemens Storz. "Reactive scheduling for LINC-NIRVANA." In SPIE Astronomical Telescopes + Instrumentation, edited by David R. Silva and Rodger E. Doxsey. SPIE, 2006. http://dx.doi.org/10.1117/12.671261.

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Gabel, Thomas, and Martin Riedmiller. "Scaling Adaptive Agent-Based Reactive Job-Shop Scheduling to Large-Scale Problems." In 2007 IEEE Symposium on Computational Intelligence in Scheduling. IEEE, 2007. http://dx.doi.org/10.1109/scis.2007.367699.

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Blöcher, Marcel, Matthias Eichholz, Pascal Weisenburger, Patrick Eugster, Mira Mezini, and Guido Salvaneschi. "GRASS: generic reactive application-specific scheduling." In the 6th ACM SIGPLAN International Workshop. ACM Press, 2019. http://dx.doi.org/10.1145/3358503.3361274.

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Narayani, A., Munawar A. Shaik, Swapan Paruya, Samarjit Kar, and Suchismita Roy. "Reactive Scheduling in Multipurpose Batch Plants." In INTERNATIONAL CONFERENCE ON MODELING, OPTIMIZATION, AND COMPUTING (ICMOS 20110). AIP, 2010. http://dx.doi.org/10.1063/1.3516332.

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Davies, John K. "Results of the UKIRT reactive scheduling experiment." In Astronomical Telescopes & Instrumentation, edited by Peter J. Quinn. SPIE, 1998. http://dx.doi.org/10.1117/12.316528.

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Morais, H., Z. Vale, and T. Sousa. "Energy resource scheduling considering reactive power management." In CIRED 2012 Workshop: Integration of Renewables into the Distribution Grid. IET, 2012. http://dx.doi.org/10.1049/cp.2012.0802.

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Waledzik, Karol, Jacek Mandziuk, and Slawomir Zadrozny. "Proactive and reactive risk-aware project scheduling." In 2014 IEEE Symposium on Computational Intelligence for Human-like Intelligence (CIHLI). IEEE, 2014. http://dx.doi.org/10.1109/cihli.2014.7013392.

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Zhao-Yang Dong. "Power system reactive scheduling within electricity markets." In APSCOM 2000 - 5th International Conference on Advances in Power System Control, Operation and Management. IEE, 2000. http://dx.doi.org/10.1049/cp:20000366.

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Kawaguchi, Shuhei, and Yoshikazu Fukuyama. "Reactive Tabu Search for job-shop scheduling problems." In 2016 11th International Conference on Computer Science & Education (ICCSE). IEEE, 2016. http://dx.doi.org/10.1109/iccse.2016.7581562.

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Reports on the topic "Reactive scheduling"

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Thomas, David Wyn. Integration strategies for the reactive scheduling. National Institute of Standards and Technology, 1998. http://dx.doi.org/10.6028/nist.ir.6171.

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Journal articles Dissertations / Theses
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