Relevant bibliographies by topics / Multiagent scheduling

Contents

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

Academic literature on the topic 'Multiagent scheduling'

Author: Grafiati
Published: 6 July 2024
Last updated: 31 July 2025

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Journal articles on the topic "Multiagent scheduling"

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Zhang, Jie, Gang Wang, Yafei Song, Fangzheng Zhao, and Siyuan Wang. "Multiagent Task Planning Based on Distributed Resource Scheduling under Command and Control Structure." Mathematical Problems in Engineering 2019 (November 6, 2019): 1–14. http://dx.doi.org/10.1155/2019/4259649.

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For task planning of the command and control structure, the existing algorithms exhibit low efficiency and poor replanning quality under abnormal conditions. Given the requirements of the current accusation architecture, a distributed command and control structure model is built in this paper based on multiagents, which exploits the superiority of multiagents in achieving complex tasks. The concept of MultiAgent-HTN is proposed based on the framework. The original hierarchical task network planning algorithm is optimized, the multiagent collaboration framework is redefined, and the coordinatio
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Li, Zhipeng, Xiumei Wei, Xuesong Jiang, and Yewen Pang. "A Kind of Reinforcement Learning to Improve Genetic Algorithm for Multiagent Task Scheduling." Mathematical Problems in Engineering 2021 (January 12, 2021): 1–12. http://dx.doi.org/10.1155/2021/1796296.

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It is difficult to coordinate the various processes in the process industry. We built a multiagent distributed hierarchical intelligent control model for manufacturing systems integrating multiple production units based on multiagent system technology. The model organically combines multiple intelligent agent modules and physical entities to form an intelligent control system with certain functions. The model consists of system management agent, workshop control agent, and equipment agent. For the task assignment problem with this model, we combine reinforcement learning to improve the genetic
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Boerkoel Jr., James, and Edmund Durfee. "Decoupling the Multiagent Disjunctive Temporal Problem." Proceedings of the AAAI Conference on Artificial Intelligence 27, no. 1 (2013): 123–29. http://dx.doi.org/10.1609/aaai.v27i1.8583.

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The Multiagent Disjunctive Temporal Problem (MaDTP) is a general constraint-based formulation for scheduling problems that involve interdependent agents. Decoupling agents' interdependent scheduling problems, so that each agent can manage its schedule independently, requires agents to adopt additional local constraints that effectively subsume their interdependencies. In this paper, we present the first algorithm for decoupling MaDTPs. Our distributed algorithm is provably sound and complete. Our experiments show that the relative efficiency of using temporal decoupling to find solution spaces
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Zhou, Yi, and Weili Xia. "Optimization Algorithm and Simulation of Public Resource Emergency Scheduling Based on Wireless Sensor Technology." Journal of Sensors 2021 (October 8, 2021): 1–10. http://dx.doi.org/10.1155/2021/2450346.

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Public resource scheduling refers to the rational allocation and effective use of resources, while public emergency scheduling refers to the rational allocation and effective use of resources in the context of emergencies. Its main purpose is to reduce casualties and property losses caused by emergencies. This paper mainly studies the emergency scheduling of public resources based on line sensing technology and solves the scheduling problem of public resources through algorithm optimization. Firstly, combined with the positioning algorithm of wireless sensor, this paper optimizes the positioni
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Boerkoel Jr., J. C., and E. H. Durfee. "Distributed Reasoning for Multiagent Simple Temporal Problems." Journal of Artificial Intelligence Research 47 (May 28, 2013): 95–156. http://dx.doi.org/10.1613/jair.3840.

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This research focuses on building foundational algorithms for scheduling agents that assist people in managing their activities in environments where tempo and complex activity interdependencies outstrip people's cognitive capacity. We address the critical challenge of reasoning over individuals' interacting schedules to efficiently answer queries about how to meet scheduling goals while respecting individual privacy and autonomy to the extent possible. We formally define the Multiagent Simple Temporal Problem for naturally capturing and reasoning over the distributed but interconnected schedu
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Montana, David, Jose Herrero, Gordon Vidaver, and Garrett Bidwell. "A multiagent society for military transportation scheduling." Journal of Scheduling 3, no. 4 (2000): 225–46. http://dx.doi.org/10.1002/1099-1425(200007/08)3:4<225::aid-jos44>3.0.co;2-r.

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Chien, Steve, Minh Do, Alan Fern, and Wheeler Ruml. "Preface." Proceedings of the International Conference on Automated Planning and Scheduling 24 (May 21, 2014): xi—xiii. http://dx.doi.org/10.1609/icaps.v24i1.13611.

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The papers in this proceedings present the latest advances in the field of automated planning and scheduling, ranging in scope from theoretical analyses of planning and scheduling problems and processes, to new algorithms for planning and scheduling under various constraints and assumptions, and the empirical evaluation of planning and scheduling techniques. They reflect recent research trends in subareas such as optimal planning, probabilistic and nondeterministic planning, path planning, multiagent planning, and new developments in heuristics and their analysis for planning algorithms.
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Frankoviè, B., Labátová S., Budinská, and I. "Approach to Scheduling Problem Solution in Production Systems Using the Multiagent System." Journal of Advanced Computational Intelligence and Intelligent Informatics 4, no. 4 (2000): 263–67. http://dx.doi.org/10.20965/jaciii.2000.p0263.

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This paper considers job-shop-scheduling problem in multimachine multipart manufacturing systems. The purpose of the article is to contribute to the decision on scheduling rules for job-shop problems. The paper also describes the possibility of utilization of MAS formalism to represent different parts of the production systems and their mutual relations. The interrelations in the multiagent world are examined.
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Rabelo, Ricardo J. "Interoperating standards in multiagent agile manufacturing scheduling systems." International Journal of Computer Applications in Technology 18, no. 1/2/3/4 (2003): 146. http://dx.doi.org/10.1504/ijcat.2003.002134.

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Walker, S. S., R. W. Brennan, and D. H. Norrie. "Holonic Job Shop Scheduling Using a Multiagent System." IEEE Intelligent Systems 20, no. 1 (2005): 50–57. http://dx.doi.org/10.1109/mis.2005.9.

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Dissertations / Theses on the topic "Multiagent scheduling"

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Antoni, Vinicius de. "An asynchronous algorithm to improve scheduling quality in the multiagent simple temporal problem." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2014. http://hdl.handle.net/10183/89798.

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Ao tentar agendar uma atividade que dependa da presença de outras pessoas, geralmente acabamos desperdiçando tempo precioso avaliando os possíveis horários e verificando se os mesmos são aceitos por todos envolvidos. Embora a modelagem e a resolução do problema de agendamento multiagente pareçam estar completamente entendidas e ainda diversos algoritmos possam ser encontrados na literatura, uma questão ainda existe: Como definir horários compatíveis para uma atividade compartilhada sem que os usuários tenham que manualmente escolher horários livres de seus calendários até que todos envolvidos
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Zhang, Sicheng, and 张思成. "An enhanced ant colony optimization approach for integrating process planning and scheduling based on multi-agent system." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2012. http://hub.hku.hk/bib/B49618064.

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Process planning and scheduling are two important manufacturing planning functions which are traditionally performed separately and sequentially. Usually, the process plan has to be prepared first before scheduling can be performed. However, due to the complexity of manufacturing systems and the uncertainties and dynamical changes encountered in practical production, process plans and schedules may easily become inefficient or even infeasible. The concept of integrated process planning and scheduling (IPPS) has been proposed to improve the efficiency, effectiveness as well as flexibility of t
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Abourraja, Mohamed Nezar. "Gestion multi-agents d'un terminal à conteneurs." Thesis, Normandie, 2018. http://www.theses.fr/2018NORMLH01/document.

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De nos jours, les plateformes portuaires cherchent à massifier leurs capacités de projection de conteneurs vers et à partir de leurs réseaux hinterland en misant sur les modes ferroviaires et fluviaux. Cela pour évacuer plus rapidement un volume quasi croissant de conteneurs livré par voie maritime et d’éviter les situations indésirables, tels que les situations d'asphyxie. De plus, les plateformes portuaires ont pris conscience que leur attractivité aux yeux des prestataires logistiques dépend non seulement de leur fiabilité et de leurs qualités nautiques mais également de leur capacité à off
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Zahout, Boukhalfa. "Algorithmes exacts et approchés pour l'ordonnancement des travaux multiressources à intervalles fixes dans des systèmes distribués : approche monocritère et multiagent." Electronic Thesis or Diss., Tours, 2021. http://www.theses.fr/2021TOUR4003.

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Les travaux de cette thèse proposent un pont entre les méthodes d'optimisation et les problèmes d'ordonnancement de travaux multiressources et à intervalle fixe sur machines parallèles identiques. Les "problèmes d'ordonnancement monocritère" et "problèmes d'ordonnancement multiagent" sont considérés. Nous développons un panel d'ordonnanceurs basés sur des méthodes exactes et approchées pour déterminer des solution réalisables où l'objectif est de maximiser la somme totale pondérée des travaux ordonnancés (ou équivalent, minimisant le coût total pondérée des travaux rejetés), durant un horizon
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Conforto, nedelmann Déborah. "Vers le passage à l'échelle de l'allocation en ligne multi-agents multi-tâches." Electronic Thesis or Diss., Toulouse, ISAE, 2024. http://www.theses.fr/2024ESAE0049.

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Cette thèse s'inscrit dans le contexte de l'allocation en ligne multi-agents multi-tâches, dont le but est de coordonner efficacement un ensemble d'agents (ressources) afin de distribuer des tâches entre eux. À titre d'exemple d'application, nous pouvons citer les cas où des clients font des requêtes à un fournisseur de services qui cherchera la meilleure répartition des tâches parmi son ensemble d'agents : des taxis répondant à la demande des clients ou des robots assurant la distribution de colis.Contrairement au cadre hors ligne, qui suppose une connaissance totale du problème d'allocation
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Books on the topic "Multiagent scheduling"

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Agnetis, Alessandro, Jean-Charles Billaut, Stanisław Gawiejnowicz, Dario Pacciarelli, and Ameur Soukhal. Multiagent Scheduling. Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-41880-8.

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Billaut, Jean-Charles, Stanisław Gawiejnowicz, and Alessandro Agnetis. Multiagent Scheduling: Models and Algorithms. Springer, 2014.

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Billaut, Jean-Charles, Alessandro Agnetis, Dario Pacciarelli, Ameur Soukhal, and Stanisław Gawiejnowicz. Multiagent Scheduling: Models and Algorithms. Springer London, Limited, 2014.

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Billaut, Jean-Charles, Stanisław Gawiejnowicz, Alessandro Agnetis, Dario Pacciarelli, and Ameur Soukhal. Multiagent Scheduling: Models and Algorithms. Springer, 2016.

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Billaut, Jean-Charles, Stanisław Gawiejnowicz, Alessandro Agnetis, Dario Pacciarelli, and Ameur Soukhal. Multiagent Scheduling: Models and Algorithms. Springer, 2014.

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Multiagent Based Beam Search For Realtime Production Scheduling And Control Method Software And Industrial Application. Springer, 2012.

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Book chapters on the topic "Multiagent scheduling"

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Agnetis, Alessandro, Jean-Charles Billaut, Stanisław Gawiejnowicz, Dario Pacciarelli, and Ameur Soukhal. "Multiagent Scheduling Fundamentals." In Multiagent Scheduling. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-41880-8_1.

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Agnetis, Alessandro, Jean-Charles Billaut, Stanisław Gawiejnowicz, Dario Pacciarelli, and Ameur Soukhal. "Problems, Algorithms and Complexity." In Multiagent Scheduling. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-41880-8_2.

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Agnetis, Alessandro, Jean-Charles Billaut, Stanisław Gawiejnowicz, Dario Pacciarelli, and Ameur Soukhal. "Single Machine Problems." In Multiagent Scheduling. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-41880-8_3.

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Agnetis, Alessandro, Jean-Charles Billaut, Stanisław Gawiejnowicz, Dario Pacciarelli, and Ameur Soukhal. "Batching Scheduling Problems." In Multiagent Scheduling. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-41880-8_4.

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Agnetis, Alessandro, Jean-Charles Billaut, Stanisław Gawiejnowicz, Dario Pacciarelli, and Ameur Soukhal. "Parallel Machine Scheduling Problems." In Multiagent Scheduling. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-41880-8_5.

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Agnetis, Alessandro, Jean-Charles Billaut, Stanisław Gawiejnowicz, Dario Pacciarelli, and Ameur Soukhal. "Scheduling Problems with Variable Job Processing Times." In Multiagent Scheduling. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-41880-8_6.

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Yadati, Chetan, Cees Witteveen, Yingqian Zhang, Mengxiao Wu, and Han la Poutre. "Autonomous Scheduling with Unbounded and Bounded Agents." In Multiagent System Technologies. Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-87805-6_18.

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Rabelo, Ricardo J., Luis M. Camarinha-Matos, and Hamideh Afsarmanesh. "Multiagent Perspectives to Agile Scheduling." In Intelligent Systems for Manufacturing. Springer US, 1998. http://dx.doi.org/10.1007/978-0-387-35390-6_5.

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Sharma, Dharmendra, and Dat Tran. "Dynamic Scheduling Using Multiagent Architecture." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-30133-2_62.

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Mao, Xiaoyu, Adriaan ter Mors, Nico Roos, and Cees Witteveen. "Coordinating Competitive Agents in Dynamic Airport Resource Scheduling." In Multiagent System Technologies. Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-74949-3_12.

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Conference papers on the topic "Multiagent scheduling"

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Dolgov, Dmitri A., Michael R. James, and Michael E. Samples. "Combinatorial resource scheduling for multiagent MDPs." In the 6th international joint conference. ACM Press, 2007. http://dx.doi.org/10.1145/1329125.1329369.

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"A MULTIAGENT SYSTEM FOR JOB-SHOP SCHEDULING." In 10th International Conference on Enterprise Information Systems. SciTePress - Science and and Technology Publications, 2008. http://dx.doi.org/10.5220/0001705301480153.

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Shibghatullah, Abdul, Tillal Eldabi, and Jasna Kuljis. "A Proposed Multiagent Model for Bus Crew Scheduling." In 2006 Winter Simulation Conference. IEEE, 2006. http://dx.doi.org/10.1109/wsc.2006.322926.

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"MULTIAGENT DESIGN FOR DYNAMIC JOB-SHOP SCHEDULING USING PASSI." In 4th International Conference on Web Information Systems and Technologies. SciTePress - Science and and Technology Publications, 2008. http://dx.doi.org/10.5220/0001528502880291.

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Medina, Gisela, and Leonardo Garrido. "Predictive Negotiation Strategy Applied to Multiagent Meeting Scheduling Problems." In 2008 Seventh Mexican International Conference on Artificial Intelligence (MICAI). IEEE, 2008. http://dx.doi.org/10.1109/micai.2008.54.

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Kamla, Vivient Corneille, Jean Etienne Ndamlabin Mboula, Jeremie Serge Wouansi Towo, and Clementin Tayou Djamegni. "Grid's Acquaintance-Based Multiagent Model of Distributed Meta-Scheduling." In 2016 12th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS). IEEE, 2016. http://dx.doi.org/10.1109/sitis.2016.55.

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Muneeswari, G., Dr K. L. Shunmuganathan, and A. Sobitha Ahila. "A Novel Approach to Multiagent based Scheduling for Multicore Architecture." In Annual International Conference on Advances in Distributed and Parallel Computing ADPC 2010. Global Science and Technology Forum, 2010. http://dx.doi.org/10.5176/978-981-08-7656-2_a-06.

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Mussawar, Osama, and Khaled Al-Wahedi. "Meeting scheduling using agent based modeling and multiagent decision making." In 2013 Third International Conference on Innovative Computing Technology (INTECH). IEEE, 2013. http://dx.doi.org/10.1109/intech.2013.6653655.

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Fazlirad, Alireza, and Robert W. Brennan. "Multiagent Manufacturing Scheduling: An Updated State of the Art Review." In 2018 IEEE 14th International Conference on Automation Science and Engineering (CASE). IEEE, 2018. http://dx.doi.org/10.1109/coase.2018.8560576.

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Filippou, A., Dimitrios A. Karras, and I. Tsatrafyllis. "On Efficient Scheduling Schemes in Multiagent Wireless Sensor Networks Simulation Systems." In 2019 27th Telecommunications Forum (TELFOR). IEEE, 2019. http://dx.doi.org/10.1109/telfor48224.2019.8971316.

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