{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,23]],"date-time":"2025-10-23T10:30:25Z","timestamp":1761215425609,"version":"3.37.3"},"reference-count":45,"publisher":"Springer Science and Business Media LLC","issue":"3","license":[{"start":{"date-parts":[[2023,3,1]],"date-time":"2023-03-01T00:00:00Z","timestamp":1677628800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2023,3,1]],"date-time":"2023-03-01T00:00:00Z","timestamp":1677628800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2023,2,24]],"date-time":"2023-02-24T00:00:00Z","timestamp":1677196800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100009432","name":"Government of the Russian Federation","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100009432","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100011051","name":"Council on grants of the President of the Russian Federation","doi-asserted-by":"publisher","award":["MK-300"],"award-info":[{"award-number":["MK-300"]}],"id":[{"id":"10.13039\/501100011051","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Journal of King Saud University - Computer and Information Sciences"],"published-print":{"date-parts":[[2023,3]]},"DOI":"10.1016\/j.jksuci.2023.02.022","type":"journal-article","created":{"date-parts":[[2023,3,2]],"date-time":"2023-03-02T02:23:42Z","timestamp":1677723822000},"page":"283-291","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":6,"title":["Evaluation of the iterative method of task distribution in a swarm of unmanned aerial vehicles in a clustered field of targets"],"prefix":"10.1007","volume":"35","author":[{"given":"Vyacheslav","family":"Petrenko","sequence":"first","affiliation":[]},{"given":"Fariza","family":"Tebueva","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2773-2861","authenticated-orcid":false,"given":"Vladimir","family":"Antonov","sequence":"additional","affiliation":[]},{"given":"Sergey","family":"Ryabtsev","sequence":"additional","affiliation":[]},{"given":"Artur","family":"Sakolchik","sequence":"additional","affiliation":[]},{"given":"Dina","family":"Satybaldina","sequence":"additional","affiliation":[]}],"member":"297","reference":[{"key":"10.1016\/j.jksuci.2023.02.022_b0005","doi-asserted-by":"crossref","first-page":"927","DOI":"10.1109\/TRO.2009.2024997","article-title":"Optimized Stochastic Policies for Task Allocation in Swarms of Robots","volume":"25","author":"Berman","year":"2009","journal-title":"IEEE Trans. Rob."},{"key":"10.1016\/j.jksuci.2023.02.022_b0010","doi-asserted-by":"crossref","first-page":"707","DOI":"10.1016\/S0167-8191(05)80062-6","article-title":"Parallel synchronous and asynchronous implementations of the auction algorithm","volume":"17","author":"Bertsekas","year":"1991","journal-title":"Parallel Comput."},{"issue":"5","key":"10.1016\/j.jksuci.2023.02.022_b0015","doi-asserted-by":"crossref","first-page":"1804","DOI":"10.3390\/s22051804","article-title":"A Population-Based Iterated Greedy Algorithm for Maximizing Sensor Network Lifetime","volume":"22","author":"Bouamama","year":"2022","journal-title":"Sensors (Basel, Switzerland)"},{"key":"10.1016\/j.jksuci.2023.02.022_b0020","doi-asserted-by":"crossref","unstructured":"Brutschy, A., Scheidler, A., Ferrante, E., Dorigo, M., Birattari, M., 2012. \u201cCan ants inspire robots?\u201d Self-organized decision making in robotic swarms, in: 2012 IEEE\/RSJ International Conference on Intelligent Robots and Systems. IEEE, pp. 4272\u20134273. https:\/\/doi.org\/10.1109\/IROS.2012.6386273.","DOI":"10.1109\/IROS.2012.6386273"},{"issue":"3","key":"10.1016\/j.jksuci.2023.02.022_b0025","doi-asserted-by":"crossref","first-page":"595","DOI":"10.1051\/m2an\/2011056","article-title":"A priori convergence of the Greedy algorithm for the parametrized reduced basis method","volume":"46","author":"Buffa","year":"2012","journal-title":"ESAIM: Math. Modell. Numer. Anal."},{"key":"10.1016\/j.jksuci.2023.02.022_b0030","doi-asserted-by":"crossref","first-page":"932","DOI":"10.1109\/TRO.2017.2693377","article-title":"A Distributed Version of the Hungarian Method for Multirobot Assignment","volume":"33","author":"Chopra","year":"2017","journal-title":"IEEE Trans. Rob."},{"key":"10.1016\/j.jksuci.2023.02.022_b0035","doi-asserted-by":"crossref","first-page":"837","DOI":"10.1109\/TRO.2018.2857475","article-title":"A Survey on Aerial Swarm Robotics","volume":"34","author":"Chung","year":"2018","journal-title":"IEEE Trans. Rob."},{"issue":"18","key":"10.1016\/j.jksuci.2023.02.022_b0040","doi-asserted-by":"crossref","first-page":"6223","DOI":"10.3390\/s21186223","article-title":"Towards Fully Autonomous UAVs: A Survey","volume":"21","author":"Elmokadem","year":"2021","journal-title":"Sensors (Basel, Switzerland)"},{"key":"10.1016\/j.jksuci.2023.02.022_b0045","doi-asserted-by":"crossref","first-page":"1180","DOI":"10.23919\/JSEE.2021.000101","article-title":"A blockchain bee colony double inhibition labor division algorithm for spatio-temporal coupling task with application to UAV swarm task allocation","volume":"32","author":"Husheng","year":"2021","journal-title":"J. Syst. Eng. Electron."},{"year":"2009","series-title":"Models and Algorithms of Collective Control in Groups of Robots","author":"Kalyaev","key":"10.1016\/j.jksuci.2023.02.022_b0050"},{"key":"10.1016\/j.jksuci.2023.02.022_b0055","doi-asserted-by":"crossref","unstructured":"Kong, X., Gao, Y., Wang, T., Liu, J., Xu, W., 2019. Multi-robot Task Allocation Strategy based on Particle Swarm Optimization and Greedy Algorithm, in: 2019 IEEE 8th Joint International Information Technology and Artificial Intelligence Conference (ITAIC). IEEE, pp. 1643\u20131646. https:\/\/doi.org\/10.1109\/ITAIC.2019.8785472.","DOI":"10.1109\/ITAIC.2019.8785472"},{"key":"10.1016\/j.jksuci.2023.02.022_b0060","doi-asserted-by":"crossref","unstructured":"Kowalczyk, W., 2002. Target assignment strategy for scattered robots building formation, in: Proceedings of the Third International Workshop on Robot Motion and Control, 2002. RoMoCo\u201902. Poznan Univ. Technol, Poznan, Poland, pp. 181\u2013185. https:\/\/doi.org\/10.1109\/ROMOCO.2002.1177105.","DOI":"10.1109\/ROMOCO.2002.1177105"},{"key":"10.1016\/j.jksuci.2023.02.022_b0065","article-title":"Self-Organised Task Allocation in a Group of Robots","volume":"6","author":"Labella","year":"2007"},{"key":"10.1016\/j.jksuci.2023.02.022_b0070","doi-asserted-by":"crossref","first-page":"503","DOI":"10.1109\/TEVC.2013.2281531","article-title":"Ant Colony Optimization for Mixed-Variable Optimization Problems","volume":"18","author":"Liao","year":"2014","journal-title":"IEEE Trans. Evolut. Comput."},{"key":"10.1016\/j.jksuci.2023.02.022_b0075","doi-asserted-by":"crossref","unstructured":"Liu, R., Seo, M., Yan, B., Tsourdos, A., 2020. Decentralized task allocation for multiple UAVs with task execution uncertainties, in: 2020 International Conference on Unmanned Aircraft Systems (ICUAS). IEEE, pp. 271\u2013278. https:\/\/doi.org\/10.1109\/ICUAS48674.2020.9213989.","DOI":"10.1109\/ICUAS48674.2020.9213989"},{"key":"10.1016\/j.jksuci.2023.02.022_b0080","doi-asserted-by":"crossref","first-page":"19","DOI":"10.1109\/TRO.2014.2370831","article-title":"Provably-Good Distributed Algorithm for Constrained Multi-Robot Task Assignment for Grouped Tasks","volume":"31","author":"Luo","year":"2015","journal-title":"IEEE Trans. Rob."},{"key":"10.1016\/j.jksuci.2023.02.022_b0085","doi-asserted-by":"crossref","first-page":"1298","DOI":"10.1109\/TASE.2015.2461213","article-title":"Planning Paths for Package Delivery in Heterogeneous Multirobot Teams","volume":"12","author":"Mathew","year":"2015","journal-title":"IEEE Trans. Autom. Sci. Eng."},{"issue":"16","key":"10.1016\/j.jksuci.2023.02.022_b0090","doi-asserted-by":"crossref","first-page":"6020","DOI":"10.3390\/s22166020","article-title":"Modeling and Control of a Spherical Robot in the CoppeliaSim Simulator","volume":"22","author":"Montenegro","year":"2022","journal-title":"Sensors (Basel, Switzerland)"},{"key":"10.1016\/j.jksuci.2023.02.022_b0095","first-page":"1","article-title":"Applying Reinforcement Learning to the Weapon Assignment Problem in Air Defense","volume":"39","author":"Mouton","year":"2011","journal-title":"Scientia Militaria \u2013 S. Afr. J. Military Stud."},{"key":"10.1016\/j.jksuci.2023.02.022_b0100","doi-asserted-by":"crossref","unstructured":"Msala, Y., Hamlich, M., Mouchtachi, A., 2019. A new Robust Heterogeneous Multi-Robot Approach Based on Cloud for Task Allocation, in: 2019 5th International Conference on Optimization and Applications (ICOA). IEEE, pp. 1\u20134. https:\/\/doi.org\/10.1109\/ICOA.2019.8727618.","DOI":"10.1109\/ICOA.2019.8727618"},{"key":"10.1016\/j.jksuci.2023.02.022_b0105","first-page":"279","article-title":"Weapon Target Allocation Problem Using Fuzzy Model","volume":"2","author":"Mukhedkar","year":"2013","journal-title":"IJAIEM"},{"key":"10.1016\/j.jksuci.2023.02.022_b0110","doi-asserted-by":"crossref","unstructured":"Murphey, R.A., 2000. Target-Based Weapon Target Assignment Problems, in: Pardalos, P.M., Pitsoulis, L.S. (Eds.), Nonlinear Assignment Problems. pp. 39\u201353. https:\/\/doi.org\/10.1007\/978-1-4757-3155-2_3.","DOI":"10.1007\/978-1-4757-3155-2_3"},{"key":"10.1016\/j.jksuci.2023.02.022_b0115","doi-asserted-by":"crossref","first-page":"889","DOI":"10.1109\/TASE.2015.2415514","article-title":"Assignment Algorithms for Modeling Resource Contention in Multirobot Task Allocation","volume":"12","author":"Nam","year":"2015","journal-title":"IEEE Trans. Autom. Sci. Eng."},{"key":"10.1016\/j.jksuci.2023.02.022_b0120","doi-asserted-by":"crossref","unstructured":"Notomista, G., Mayya, S., Hutchinson, S., Egerstedt, M., 2019. An Optimal Task Allocation Strategy for Heterogeneous Multi-Robot Systems, in: 2019 18th European Control Conference (ECC). IEEE, pp. 2071\u20132076. https:\/\/doi.org\/10.23919\/ECC.2019.8795895.","DOI":"10.23919\/ECC.2019.8795895"},{"key":"10.1016\/j.jksuci.2023.02.022_b0125","doi-asserted-by":"crossref","unstructured":"Oliveira, S., Hussin, M.S., Roli, A., Dorigo, M., Stutzle, T., 2017. Analysis of the population-based ant colony optimization algorithm for the TSP and the QAP, in: 2017 IEEE Congress on Evolutionary Computation (CEC). IEEE, pp. 1734\u20131741. https:\/\/doi.org\/10.1109\/CEC.2017.7969511.","DOI":"10.1109\/CEC.2017.7969511"},{"key":"10.1016\/j.jksuci.2023.02.022_b0130","doi-asserted-by":"crossref","unstructured":"Patel, R., Rudnick-Cohen, E., Azarm, S., Otte, M., Xu, H., Herrmann, J.W., 2020. Decentralized Task Allocation in Multi-Agent Systems Using a Decentralized Genetic Algorithm, in: 2020 IEEE International Conference on Robotics and Automation (ICRA). IEEE, pp. 3770\u20133776. https:\/\/doi.org\/10.1109\/ICRA40945.2020.9197314.","DOI":"10.1109\/ICRA40945.2020.9197314"},{"key":"10.1016\/j.jksuci.2023.02.022_b0135","doi-asserted-by":"crossref","first-page":"319","DOI":"10.1023\/A:1012411712038","article-title":"Pheromone robotics","volume":"11","author":"Payton","year":"2001","journal-title":"Auton. Robots"},{"key":"10.1016\/j.jksuci.2023.02.022_b0140","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"crossref","first-page":"45","DOI":"10.1007\/978-3-540-30552-1_5","article-title":"Pheromone Robotics and the Logic of Virtual Pheromones","author":"Payton","year":"2005"},{"key":"10.1016\/j.jksuci.2023.02.022_b0145","doi-asserted-by":"crossref","DOI":"10.1088\/1757-899X\/919\/4\/042025","article-title":"Consensus achievement method for a robotic swarm about the most frequently feature of an environment","volume":"919","author":"Petrenko","year":"2020","journal-title":"IOP Conf. Ser. Mater. Sci. Eng."},{"year":"2015","series-title":"Group Control of Moving Objects in Uncertain Environments","author":"Pshikhopov","key":"10.1016\/j.jksuci.2023.02.022_b0150"},{"key":"10.1016\/j.jksuci.2023.02.022_b0155","first-page":"699","article-title":"Iterative Method of Labor Division for Multi-Robotic Systems","volume":"27","author":"Ryabtsev","year":"2022"},{"key":"10.1016\/j.jksuci.2023.02.022_b0160","doi-asserted-by":"crossref","first-page":"3252","DOI":"10.1016\/j.cor.2005.02.039","article-title":"Multiple task assignments for cooperating uninhabited aerial vehicles using genetic algorithms","volume":"33","author":"Shima","year":"2006","journal-title":"Comput. Oper. Res."},{"key":"10.1016\/j.jksuci.2023.02.022_b0165","unstructured":"Sikanen, T., 2008. Solving Weapon Target Assignment Problem with Dynamic Programming, in: Independent Research Projects in Applied Mathematics."},{"key":"10.1016\/j.jksuci.2023.02.022_b0170","doi-asserted-by":"crossref","unstructured":"Soleimanpour-Moghadam, M., Nezamabadi-Pour, H., 2020. Discrete Genetic Algorithm for Solving Task Allocation of Multi-robot Systems, in: 2020 4th Conference on Swarm Intelligence and Evolutionary Computation (CSIEC). IEEE, pp. 006\u2013009. https:\/\/doi.org\/10.1109\/CSIEC49655.2020.9237316.","DOI":"10.1109\/CSIEC49655.2020.9237316"},{"key":"10.1016\/j.jksuci.2023.02.022_b0175","doi-asserted-by":"crossref","first-page":"8242","DOI":"10.3390\/en15218242","article-title":"Application of Simulated Annealing Algorithm in Core Flow Distribution Optimization","volume":"15","author":"Wang","year":"2022","journal-title":"Energies"},{"key":"10.1016\/j.jksuci.2023.02.022_b0180","doi-asserted-by":"crossref","unstructured":"Wei, T., Yongjiang, H., Yuefei, Z., Wenguang, L., Xiaomeng, Z., 2021. Multi-UAV Task Allocation Based on Type Mamdani Fuzzy Logic, in: 2021 7th International Symposium on Mechatronics and Industrial Informatics (ISMII). IEEE, pp. 184\u2013187. https:\/\/doi.org\/10.1109\/ISMII52409.2021.00046.","DOI":"10.1109\/ISMII52409.2021.00046"},{"key":"10.1016\/j.jksuci.2023.02.022_b0185","doi-asserted-by":"crossref","first-page":"2530","DOI":"10.1109\/LRA.2020.2972894","article-title":"Particle Swarm Optimization for Cooperative Multi-Robot Task Allocation: A Multi-Objective Approach","volume":"5","author":"Wei","year":"2020","journal-title":"IEEE Robot. Autom. Lett."},{"key":"10.1016\/j.jksuci.2023.02.022_b0190","doi-asserted-by":"crossref","first-page":"1163","DOI":"10.1109\/TRO.2016.2593448","article-title":"Optimal Multirobot Path Planning on Graphs: Complete Algorithms and Effective Heuristics","volume":"32","author":"Yu","year":"2016","journal-title":"IEEE Trans. Rob."},{"key":"10.1016\/j.jksuci.2023.02.022_b0195","first-page":"23","article-title":"An AntColony Algorithm Based on Pheromone Declining for Solving the WTA Problem","volume":"25","author":"Yuan","year":"2008","journal-title":"Int. J. Comput. Simulat."},{"key":"10.1016\/j.jksuci.2023.02.022_b0200","doi-asserted-by":"crossref","unstructured":"Zakiev, A., Tsoy, T., Magid, E., 2018. Swarm Robotics: Remarks on Terminology and Classification, in: Third International Conference, ICR 2018. Leipzig, Germany, pp. 291\u2013300. https:\/\/doi.org\/10.1007\/978-3-319-99582-3_30.","DOI":"10.1007\/978-3-319-99582-3_30"},{"key":"10.1016\/j.jksuci.2023.02.022_b0205","doi-asserted-by":"crossref","unstructured":"Zavlanos, M.M., Pappas, G.J., 2007. Sensor-Based Dynamic Assignment in Distributed Motion Planning, in: Proceedings 2007 IEEE International Conference on Robotics and Automation. IEEE, pp. 3333\u20133338. https:\/\/doi.org\/10.1109\/ROBOT.2007.363987.","DOI":"10.1109\/ROBOT.2007.363987"},{"key":"10.1016\/j.jksuci.2023.02.022_b0210","doi-asserted-by":"crossref","unstructured":"Zavlanos, M.M., Spesivtsev, L., Pappas, G.J., 2008. A distributed auction algorithm for the assignment problem, in: 2008 47th IEEE Conference on Decision and Control. IEEE, pp. 1212\u20131217. https:\/\/doi.org\/10.1109\/CDC.2008.4739098.","DOI":"10.1109\/CDC.2008.4739098"},{"key":"10.1016\/j.jksuci.2023.02.022_b0215","doi-asserted-by":"crossref","first-page":"232","DOI":"10.1109\/TRO.2007.913992","article-title":"Dynamic Assignment in Distributed Motion Planning With Local Coordination","volume":"24","author":"Zavlanos","year":"2008","journal-title":"IEEE Trans. Rob."},{"key":"10.1016\/j.jksuci.2023.02.022_b0220","doi-asserted-by":"crossref","first-page":"74","DOI":"10.4236\/ojapps.2012.24B018","article-title":"ACGA Algorithm of Solving Weapon - Target Assignment Problem","volume":"02","author":"Zhang","year":"2012","journal-title":"Open J. Appl. Sci."},{"key":"10.1016\/j.jksuci.2023.02.022_b0225","doi-asserted-by":"crossref","unstructured":"Zhao, H., Dorigo, M., Allwright, M., 2021. General Dynamic Neural Networks for the Adaptive Tuning of an Omni-Directional Drive System for Reactive Swarm Robotics, in: 2021 25th International Conference on Methods and Models in Automation and Robotics (MMAR). IEEE, pp. 79\u201384. https:\/\/doi.org\/10.1109\/MMAR49549.2021.9528468.","DOI":"10.1109\/MMAR49549.2021.9528468"}],"container-title":["Journal of King Saud University - Computer and Information Sciences"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1319157823000599?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1319157823000599?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2025,1,6]],"date-time":"2025-01-06T17:22:09Z","timestamp":1736184129000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S1319157823000599"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,3]]},"references-count":45,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2023,3]]}},"alternative-id":["S1319157823000599"],"URL":"https:\/\/doi.org\/10.1016\/j.jksuci.2023.02.022","relation":{},"ISSN":["1319-1578"],"issn-type":[{"type":"print","value":"1319-1578"}],"subject":[],"published":{"date-parts":[[2023,3]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Evaluation of the iterative method of task distribution in a swarm of unmanned aerial vehicles in a clustered field of targets","name":"articletitle","label":"Article Title"},{"value":"Journal of King Saud University - Computer and Information Sciences","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.jksuci.2023.02.022","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2023 The Authors. Published by Elsevier B.V. on behalf of King Saud University.","name":"copyright","label":"Copyright"}]}}