{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,4]],"date-time":"2026-05-04T03:44:55Z","timestamp":1777866295801,"version":"3.51.4"},"reference-count":38,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62373191"],"award-info":[{"award-number":["62373191"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004608","name":"Jiangsu Province Natural Science Foundation","doi-asserted-by":"publisher","award":["BK20251776"],"award-info":[{"award-number":["BK20251776"]}],"id":[{"id":"10.13039\/501100004608","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Mathematics and Computers in Simulation"],"published-print":{"date-parts":[[2026,9]]},"DOI":"10.1016\/j.matcom.2026.03.018","type":"journal-article","created":{"date-parts":[[2026,3,12]],"date-time":"2026-03-12T17:01:37Z","timestamp":1773334897000},"page":"110-136","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"C","title":["Dynamic path planning for certain mobile robots in the 3D rough terrain: Fusion of the Q-learning enhanced MOPSO and improved DWA"],"prefix":"10.1016","volume":"247","author":[{"given":"Zhaoxia","family":"Duan","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yi","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qian","family":"Zhao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qian","family":"Qin","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0869-5471","authenticated-orcid":false,"given":"Zhengrong","family":"Xiang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"78","reference":[{"key":"10.1016\/j.matcom.2026.03.018_b1","doi-asserted-by":"crossref","DOI":"10.1016\/j.swevo.2024.101576","article-title":"Solving the multi-objective path planning problem for mobile robot using an improved NSGA-II algorithm","volume":"87","author":"Duan","year":"2024","journal-title":"Swarm Evol. Comput."},{"key":"10.1016\/j.matcom.2026.03.018_b2","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2023.120254","article-title":"Path planning techniques for mobile robots: Review and prospect","volume":"227","author":"Liu","year":"2023","journal-title":"Expert Syst. Appl."},{"key":"10.1016\/j.matcom.2026.03.018_b3","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2024.123762","article-title":"Improved genetic algorithm for mobile robot path planning in static environments","volume":"249","author":"Wahab","year":"2024","journal-title":"Expert Syst. Appl."},{"key":"10.1016\/j.matcom.2026.03.018_b4","first-page":"396","article-title":"Application of radio frequency controlled intelligent military robot in defense","author":"Naskar","year":"2011","journal-title":"Int. Conf. Commun. Syst. Netw. Technol."},{"key":"10.1016\/j.matcom.2026.03.018_b5","doi-asserted-by":"crossref","first-page":"294","DOI":"10.1016\/j.matcom.2024.12.015","article-title":"SBA*: An efficient method for 3D path planning of unmanned vehicles","volume":"231","author":"Akay","year":"2025","journal-title":"Math. Comput. Simulation"},{"key":"10.1016\/j.matcom.2026.03.018_b6","doi-asserted-by":"crossref","DOI":"10.1016\/j.aml.2025.109615","article-title":"Inhomogeneity, magnetic auto-b\u00e4cklund transformations and magnetic solitons for a generalized variable-coefficient kraenkel-manna-merle system in a deformed ferrite","volume":"171","author":"Gao","year":"2025","journal-title":"Appl. Math. Lett."},{"key":"10.1016\/j.matcom.2026.03.018_b7","doi-asserted-by":"crossref","DOI":"10.1016\/j.aml.2025.109720","article-title":"A new (2+1)-dimensional like-Harry-Dym equation with derivation and soliton solutions","volume":"172","author":"Wang","year":"2026","journal-title":"Appl. Math. Lett."},{"issue":"5","key":"10.1016\/j.matcom.2026.03.018_b8","doi-asserted-by":"crossref","first-page":"234","DOI":"10.1007\/s12346-025-01385-w","article-title":"Bilinear forms, bilinear auto-b\u00e4cklund transformations and similarity reductions for a (3+1)-dimensional generalized variable-coefficient Korteweg\u2013de Vries-Calogero-Bogoyavlenskii-Schiff equation in quantum and fluid mechanics","volume":"24","author":"Gao","year":"2025","journal-title":"Qual. Theory Dyn. Syst."},{"key":"10.1016\/j.matcom.2026.03.018_b9","doi-asserted-by":"crossref","first-page":"236","DOI":"10.1038\/s41586-018-0533-0","article-title":"Glider soaring via reinforcement learning in the field","volume":"562","author":"Reddy","year":"2018","journal-title":"Nature"},{"key":"10.1016\/j.matcom.2026.03.018_b10","doi-asserted-by":"crossref","DOI":"10.1016\/j.robot.2024.104655","article-title":"A new approach to smooth path planning of ackerman mobile robot based on improved ACO algorithm and B-spline curve","volume":"175","author":"Huo","year":"2024","journal-title":"Robot. Auton. Syst."},{"key":"10.1016\/j.matcom.2026.03.018_b11","doi-asserted-by":"crossref","first-page":"55","DOI":"10.1016\/j.matcom.2023.02.003","article-title":"A novel reinforcement learning based tuna swarm optimization algorithm for autonomous underwater vehicle path planning","volume":"209","author":"Yan","year":"2023","journal-title":"Math. Comput. Simulation"},{"key":"10.1016\/j.matcom.2026.03.018_b12","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2020.113425","article-title":"PQ-RRT*: An improved path planning algorithm for mobile robots","volume":"152","author":"Li","year":"2020","journal-title":"Expert Syst. Appl."},{"key":"10.1016\/j.matcom.2026.03.018_b13","doi-asserted-by":"crossref","first-page":"149","DOI":"10.1016\/j.jclepro.2016.12.084","article-title":"A comparison between ACO and dijkstra algorithms for optimal ore concentrate pipeline routing","volume":"144","author":"Baeza","year":"2017","journal-title":"J. Clean. Prod."},{"key":"10.1016\/j.matcom.2026.03.018_b14","doi-asserted-by":"crossref","DOI":"10.1016\/j.ijdrr.2023.104219","article-title":"Dynamic planning method of evacuation route in dam-break flood scenario based on the ACO-GA hybrid algorithm","volume":"100","author":"Dong","year":"2024","journal-title":"Int. J. Disaster Risk Reduct."},{"issue":"3","key":"10.1016\/j.matcom.2026.03.018_b15","doi-asserted-by":"crossref","first-page":"1758","DOI":"10.1080\/15397734.2021.1876569","article-title":"Hybrid genetic algorithm based smooth global-path planning for a mobile robot","volume":"51","author":"Luan","year":"2023","journal-title":"Mech. Based Des. Struct. Mach."},{"key":"10.1016\/j.matcom.2026.03.018_b16","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2023.121510","article-title":"An improved fault-tolerant cultural-PSO with probability for multi-AGV path planning","volume":"237","author":"Lin","year":"2024","journal-title":"Expert Syst. Appl."},{"key":"10.1016\/j.matcom.2026.03.018_b17","doi-asserted-by":"crossref","first-page":"194","DOI":"10.1016\/j.matcom.2020.08.013","article-title":"GEPSO: A new generalized particle swarm optimization algorithm","volume":"179","author":"Sedighizadeh","year":"2021","journal-title":"Math. Comput. Simulation"},{"key":"10.1016\/j.matcom.2026.03.018_b18","doi-asserted-by":"crossref","DOI":"10.1016\/j.swevo.2024.101612","article-title":"Consensus-based virtual leader tracking swarm algorithm with GDRRT*-PSO for path-planning of multiple-UAVs","volume":"88","author":"Yildiz","year":"2024","journal-title":"Swarm Evol. Comput."},{"key":"10.1016\/j.matcom.2026.03.018_b19","doi-asserted-by":"crossref","first-page":"311","DOI":"10.1016\/j.matcom.2025.02.012","article-title":"Improved fuzzy C-means clustering algorithm based on fuzzy particle swarm optimization for solving data clustering problems","volume":"233","author":"Zhang","year":"2025","journal-title":"Math. Comput. Simulation"},{"key":"10.1016\/j.matcom.2026.03.018_b20","doi-asserted-by":"crossref","DOI":"10.1016\/j.cie.2022.108905","article-title":"ACO+PSO+A*: A bi-layer hybrid algorithm for multi-task path planning of an AUV","volume":"175","author":"Sui","year":"2023","journal-title":"Comput. Ind. Eng."},{"issue":"5","key":"10.1016\/j.matcom.2026.03.018_b21","doi-asserted-by":"crossref","first-page":"731","DOI":"10.3390\/jmse12050731","article-title":"An improved artificial potential field method for ship path planning based on artificial potential field-mined customary navigation routes","volume":"12","author":"Suo","year":"2024","journal-title":"J. Mar. Sci. Eng."},{"key":"10.1016\/j.matcom.2026.03.018_b22","doi-asserted-by":"crossref","DOI":"10.1016\/j.compeleceng.2023.108753","article-title":"Research on adaptive obstacle avoidance algorithm of robot based on DDPG-DWA","volume":"109","author":"Wang","year":"2023","journal-title":"Comput. Electr. Eng."},{"key":"10.1016\/j.matcom.2026.03.018_b23","first-page":"1023","article-title":"Enhancing UAV navigation with dynamic programming and hybrid probabilistic route mapping: an improved dynamic window approach","volume":"16","author":"Venkatasivarambabu","year":"2024","journal-title":"Int. J. Inf. Technol."},{"key":"10.1016\/j.matcom.2026.03.018_b24","doi-asserted-by":"crossref","first-page":"901","DOI":"10.1007\/s11370-024-00547-0","article-title":"Research on robot path planning by integrating state-based decision-making A* algorithm and inertial dynamic window approach","volume":"17","author":"Xing","year":"2024","journal-title":"Intell. Serv. Robot."},{"key":"10.1016\/j.matcom.2026.03.018_b25","doi-asserted-by":"crossref","first-page":"51","DOI":"10.1007\/s10514-020-09947-4","article-title":"Reinforcement based mobile robot path planning with improved dynamic window approach in unknown environment","volume":"45","author":"Chang","year":"2021","journal-title":"Auton. Robots"},{"key":"10.1016\/j.matcom.2026.03.018_b26","doi-asserted-by":"crossref","first-page":"2213","DOI":"10.1109\/JLT.2024.3486718","article-title":"A multi-objective particle swarm optimization pruning on photonic neural networks","volume":"43","author":"Su","year":"2024","journal-title":"J. Lightwave Technol."},{"key":"10.1016\/j.matcom.2026.03.018_b27","first-page":"33","article-title":"A multi-UAV task allocation method based on Q-MOPSO hybrid algorithm","volume":"vol. 1374","author":"Zhang","year":"2024"},{"issue":"11","key":"10.1016\/j.matcom.2026.03.018_b28","doi-asserted-by":"crossref","first-page":"1909","DOI":"10.3390\/rs17111909","article-title":"An optimization method for indoor pseudolites nnchor layout based on MG-MOPSO","volume":"17","author":"Liang","year":"2025","journal-title":"Remote. Sens."},{"key":"10.1016\/j.matcom.2026.03.018_b29","doi-asserted-by":"crossref","first-page":"2287","DOI":"10.1049\/cth2.12569","article-title":"Extended state observer based fractional order sliding mode control for steer-by-wire systems","volume":"18","author":"Shi","year":"2024","journal-title":"IET Control Theory Appl."},{"key":"10.1016\/j.matcom.2026.03.018_b30","doi-asserted-by":"crossref","first-page":"871","DOI":"10.1109\/TRO.2024.3522187","article-title":"FAPP: fast and adaptive perception and planning for UAVs in dynamic cluttered environments","volume":"41","author":"Lu","year":"2025","journal-title":"IEEE Transac. Robotics"},{"issue":"1","key":"10.1016\/j.matcom.2026.03.018_b31","doi-asserted-by":"crossref","first-page":"283","DOI":"10.1109\/TTE.2022.3199255","article-title":"Automatic parking path planning of tracked vehicle based on improved A* and DWA algorithms","volume":"9","author":"Yang","year":"2023","journal-title":"IEEE Trans. Transp. Electrific"},{"key":"10.1016\/j.matcom.2026.03.018_b32","doi-asserted-by":"crossref","DOI":"10.1016\/j.oceaneng.2024.117210","article-title":"Hybrid path planning method for USV using bidirectional A* and improved DWA considering the manoeuvrability and COLREGs","volume":"298","author":"Xu","year":"2024","journal-title":"Ocean Eng."},{"issue":"1","key":"10.1016\/j.matcom.2026.03.018_b33","doi-asserted-by":"crossref","first-page":"224","DOI":"10.1007\/s11804-024-00434-1","article-title":"Fusion algorithm based on improved A* and DWA for USV path planning","volume":"24","author":"Li","year":"2025","journal-title":"J. Mar. Sci. Appl."},{"issue":"10","key":"10.1016\/j.matcom.2026.03.018_b34","doi-asserted-by":"crossref","first-page":"10595","DOI":"10.1109\/TIE.2025.3546349","article-title":"Dynamic path planning for mobile robots based on improved RRT* and DWA algorithms","volume":"72","author":"Su","year":"2025","journal-title":"IEEE Trans. Ind. Electron."},{"issue":"1","key":"10.1016\/j.matcom.2026.03.018_b35","doi-asserted-by":"crossref","first-page":"23","DOI":"10.1109\/100.580977","article-title":"The dynamic window approach to collision avoidance","volume":"4","author":"Fox","year":"1997","journal-title":"IEEE Robot. Autom. Mag."},{"key":"10.1016\/j.matcom.2026.03.018_b36","doi-asserted-by":"crossref","first-page":"42","DOI":"10.1016\/j.neucom.2017.12.015","article-title":"Car-like mobile robot path planning in rough terrain using multi-objective particle swarm optimization algorithm","volume":"282","author":"Wang","year":"2017","journal-title":"Neurocomputing"},{"key":"10.1016\/j.matcom.2026.03.018_b37","series-title":"Learning from Delayed Rewards","author":"Watkins","year":"1989"},{"key":"10.1016\/j.matcom.2026.03.018_b38","doi-asserted-by":"crossref","first-page":"246","DOI":"10.1016\/j.matcom.2022.12.020","article-title":"Multi-sample learning particle swarm optimization with adaptive crossover operation","volume":"208","author":"Yang","year":"2023","journal-title":"Math. Comput. Simulation"}],"container-title":["Mathematics and Computers in Simulation"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S037847542600100X?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S037847542600100X?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,4,30]],"date-time":"2026-04-30T08:23:51Z","timestamp":1777537431000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S037847542600100X"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,9]]},"references-count":38,"alternative-id":["S037847542600100X"],"URL":"https:\/\/doi.org\/10.1016\/j.matcom.2026.03.018","relation":{},"ISSN":["0378-4754"],"issn-type":[{"value":"0378-4754","type":"print"}],"subject":[],"published":{"date-parts":[[2026,9]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Dynamic path planning for certain mobile robots in the 3D rough terrain: Fusion of the Q-learning enhanced MOPSO and improved DWA","name":"articletitle","label":"Article Title"},{"value":"Mathematics and Computers in Simulation","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.matcom.2026.03.018","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 International Association for Mathematics and Computers in Simulation (IMACS). Published by Elsevier B.V. All rights are reserved, including those for text and data mining, AI training, and similar technologies.","name":"copyright","label":"Copyright"}]}}