{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,24]],"date-time":"2026-02-24T17:54:22Z","timestamp":1771955662549,"version":"3.50.1"},"reference-count":30,"publisher":"Wiley","license":[{"start":{"date-parts":[[2024,3,31]],"date-time":"2024-03-31T00:00:00Z","timestamp":1711843200000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Complexity"],"published-print":{"date-parts":[[2024,3,31]]},"abstract":"<jats:p>In recent years, in the classic battles and armed conflicts around the world, battlefield environment reconnaissance and the collection and processing of operational information play an increasingly critical role in the victory and defeat of the battlefield. Unmanned equipment, especially UAV equipment, is used by more and more countries in the field of combat reconnaissance. Meanwhile, the types of UAV are gradually diversified with the change of operational requirements. UAVs adapted to different combat environments shine brightly on the battlefield. In terms of naval battle field, due to the limitations and deficiencies of reconnaissance methods such as surface radar, UAVs play a more prominent role in combat reconnaissance. There are more scenarios for UAVs to be used in combat reconnaissance in naval battle field and higher requirements for UAVs\u2019 combat effectiveness. Therefore, this paper takes UAVs\u2019 naval battle reconnaissance missions as the research object. By using PSO as the research method, this paper studies the combat reconnaissance task configuration of UAVs, hoping to contribute to the improvement of UAVs\u2019 combat reconnaissance capability and combat effectiveness.<\/jats:p>","DOI":"10.1155\/2024\/9143774","type":"journal-article","created":{"date-parts":[[2024,3,31]],"date-time":"2024-03-31T23:50:06Z","timestamp":1711929006000},"page":"1-12","source":"Crossref","is-referenced-by-count":3,"title":["Research on Combat Mission Configuration of Unmanned Aerial Vehicle Maritime Reconnaissance Based on Particle Swarm Optimization Algorithm"],"prefix":"10.1155","volume":"2024","author":[{"given":"Peng","family":"Dong","sequence":"first","affiliation":[{"name":"Department of Management Engineering and Equipment Economics, Naval University of Engineering, Wuhan 430033, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-4861-2614","authenticated-orcid":true,"given":"Weibing","family":"Chen","sequence":"additional","affiliation":[{"name":"Department of Management Engineering and Equipment Economics, Naval University of Engineering, Wuhan 430033, China"}]},{"given":"Kewen","family":"Wang","sequence":"additional","affiliation":[{"name":"Department of Management Engineering and Equipment Economics, Naval University of Engineering, Wuhan 430033, China"}]},{"given":"Ke","family":"Zhou","sequence":"additional","affiliation":[{"name":"Department of Management Engineering and Equipment Economics, Naval University of Engineering, Wuhan 430033, China"}]},{"given":"Wei","family":"Wang","sequence":"additional","affiliation":[{"name":"Department of Management Engineering and Equipment Economics, Naval University of Engineering, Wuhan 430033, China"}]}],"member":"311","reference":[{"key":"1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ress.2020.107052"},{"key":"2","doi-asserted-by":"publisher","DOI":"10.1016\/j.matpr.2022.04.189"},{"key":"3","doi-asserted-by":"publisher","DOI":"10.1016\/j.ssci.2019.02.009"},{"key":"4","doi-asserted-by":"publisher","DOI":"10.30518\/jav.1080139"},{"key":"5","doi-asserted-by":"publisher","DOI":"10.1109\/tevc.2017.2749619"},{"key":"6","doi-asserted-by":"publisher","DOI":"10.1016\/j.ress.2020.107385"},{"key":"7","doi-asserted-by":"publisher","DOI":"10.1109\/tevc.2015.2455812"},{"key":"8","doi-asserted-by":"publisher","DOI":"10.1016\/j.simpat.2022.102578"},{"key":"9","doi-asserted-by":"publisher","DOI":"10.1145\/3470971"},{"key":"10","doi-asserted-by":"publisher","DOI":"10.1016\/j.ress.2019.106786"},{"key":"11","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2020.106120"},{"key":"12","doi-asserted-by":"publisher","DOI":"10.1016\/j.psep.2021.11.047"},{"key":"13","doi-asserted-by":"publisher","DOI":"10.1109\/tevc.2017.2704782"},{"key":"14","first-page":"2307","article-title":"Research on simulation and optimization of maintenance support mode and human resources auocation for complex equipment","volume":"33","author":"C. Junhai","year":"2021","journal-title":"Journal of System Simulation"},{"key":"15","doi-asserted-by":"publisher","DOI":"10.1109\/tpwrs.2014.2340393"},{"key":"16","first-page":"2758","article-title":"Use of cooperative coevolution for solving large scale multiobjective optimization problems","author":"L. M. Antonio"},{"key":"17","doi-asserted-by":"publisher","DOI":"10.1016\/j.scs.2021.103137"},{"key":"18","doi-asserted-by":"publisher","DOI":"10.1109\/tsmcb.2012.2209115"},{"key":"19","doi-asserted-by":"publisher","DOI":"10.1016\/j.swevo.2022.101055"},{"key":"20","doi-asserted-by":"publisher","DOI":"10.1142\/s1793962316410014"},{"key":"21","doi-asserted-by":"publisher","DOI":"10.1109\/tevc.2016.2631279"},{"key":"22","doi-asserted-by":"publisher","DOI":"10.1115\/1.4010337"},{"issue":"1","key":"23","first-page":"1","article-title":"Adaptive multiobjective particle swarm optimization based on parallel cell coordinate system","volume":"19","author":"W. Hu","year":"2013","journal-title":"IEEE Transactions on Evolutionary Computation"},{"key":"24","doi-asserted-by":"crossref","first-page":"7","DOI":"10.2991\/978-94-6239-061-4_2","article-title":"Normal distribution","volume-title":"Normal and Student\u00b4s T Distributions and Their Applications","author":"M. Ahsanullah","year":"2014"},{"key":"25","doi-asserted-by":"crossref","first-page":"1942","DOI":"10.1109\/ICNN.1995.488968","article-title":"Particle swarm optimization","volume":"4","author":"J. Kennedy","year":"1995","journal-title":"Proceedings of ICNN\u201995-International Conference on Neural Networks"},{"key":"26","doi-asserted-by":"crossref","first-page":"248","DOI":"10.1002\/9781118762745.ch12","article-title":"Multi-method modelling: AnyLogic","volume-title":"Discrete\u2010Event Simulation and System Dynamics for Management Decision Making","author":"A. Borshchev","year":"2014"},{"key":"27","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejor.2015.06.071"},{"key":"28","doi-asserted-by":"publisher","DOI":"10.1016\/j.ress.2006.05.015"},{"key":"29","article-title":"Adaptive offspring generation for evolutionary large-scale multiobjective optimization","volume":"15","author":"C. He","year":"2020","journal-title":"IEEE Trans. Syst. Man Cybern"},{"key":"30","doi-asserted-by":"crossref","first-page":"525","DOI":"10.1007\/978-3-319-45823-6_49","article-title":"Decomposition-based approach for solving large scale multi-objective problems","volume-title":"International Conference on Parallel Problem Solving from Nature","author":"L. Miguel Antonio","year":"2016"}],"container-title":["Complexity"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/downloads.hindawi.com\/journals\/complexity\/2024\/9143774.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/complexity\/2024\/9143774.xml","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/complexity\/2024\/9143774.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,31]],"date-time":"2024-03-31T23:50:12Z","timestamp":1711929012000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.hindawi.com\/journals\/complexity\/2024\/9143774\/"}},"subtitle":[],"editor":[{"given":"Zhen","family":"Zhang","sequence":"additional","affiliation":[]}],"short-title":[],"issued":{"date-parts":[[2024,3,31]]},"references-count":30,"alternative-id":["9143774","9143774"],"URL":"https:\/\/doi.org\/10.1155\/2024\/9143774","relation":{},"ISSN":["1099-0526","1076-2787"],"issn-type":[{"value":"1099-0526","type":"electronic"},{"value":"1076-2787","type":"print"}],"subject":[],"published":{"date-parts":[[2024,3,31]]}}}