{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,25]],"date-time":"2026-06-25T21:21:15Z","timestamp":1782422475490,"version":"3.54.5"},"reference-count":27,"publisher":"Cambridge University Press (CUP)","issue":"10","license":[{"start":{"date-parts":[[2025,10,1]],"date-time":"2025-10-01T00:00:00Z","timestamp":1759276800000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/www.cambridge.org\/core\/terms"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Robotica"],"published-print":{"date-parts":[[2025,10]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>Aiming at the issues of traditional ant colony algorithm (ACO) in mobile robot path planning, including initial search blindness, susceptibility to local optima, and slow convergence, this paper proposes a multi-strategy improved ant colony algorithm (MS-ACO). Firstly, dynamic non-uniform distribution of initial pheromones is implemented by integrating the repulsive field from artificial the potential field method. Secondly, the heuristic information is enhanced to improve global search capability while constraining unnecessary path turns. Thirdly, an improved pheromone update strategy is developed by adopting distinct updating mechanisms for different evolutionary phases. Finally, dynamic parameter adaptation is achieved through optimized weight coefficients and volatility coefficients that coordinate with the pheromone update strategy, better aligning with the iterative characteristics of ant colony optimization. Experimental results demonstrate that MS-ACO effectively addresses the limitations of traditional ACO. Under identical experimental conditions, it achieves a 30.4% reduction in path length, 37.8% decrease in pathfinding time, and 71% fewer turns compared to conventional methods, verifying the feasibility and superiority of the proposed algorithm.<\/jats:p>","DOI":"10.1017\/s0263574725102610","type":"journal-article","created":{"date-parts":[[2025,10,1]],"date-time":"2025-10-01T04:20:16Z","timestamp":1759292416000},"page":"3594-3614","source":"Crossref","is-referenced-by-count":2,"title":["Research on mobile robot path planning based on multi-strategy improved ant colony algorithm"],"prefix":"10.1017","volume":"43","author":[{"ORCID":"https:\/\/orcid.org\/0009-0001-2466-8510","authenticated-orcid":false,"given":"Xinghua","family":"Wang","sequence":"first","affiliation":[{"name":"Shanghai Institute of Technology"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0008-6675-8830","authenticated-orcid":false,"given":"Jie","family":"Wang","sequence":"additional","affiliation":[{"name":"Shanghai Institute of Technology"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jiawen","family":"Cao","sequence":"additional","affiliation":[{"name":"Shanghai Institute of Technology"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ruijin","family":"Sun","sequence":"additional","affiliation":[{"name":"Shanghai Institute of Technology"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"56","published-online":{"date-parts":[[2025,10,1]]},"reference":[{"key":"S0263574725102610_ref7","doi-asserted-by":"publisher","DOI":"10.1007\/s11432-016-9115-2"},{"key":"S0263574725102610_ref17","doi-asserted-by":"publisher","DOI":"10.1017\/S026357472200114X"},{"key":"S0263574725102610_ref22","doi-asserted-by":"publisher","DOI":"10.1142\/S0217984917400917"},{"key":"S0263574725102610_ref27","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2022.109215"},{"key":"S0263574725102610_ref21","doi-asserted-by":"publisher","DOI":"10.1155\/2021\/8592558"},{"key":"S0263574725102610_ref3","doi-asserted-by":"publisher","DOI":"10.1017\/S026357472400016X"},{"key":"S0263574725102610_ref8","first-page":"10","article-title":"A review of the application of ant colony algorithm in mobile robot path planning","volume":"56","author":"Zhang","year":"2020","journal-title":"Comput. Eng. Appl."},{"key":"S0263574725102610_ref12","first-page":"1","article-title":"AGV path planning improvement based on heuristic strategy of ant colony algorithm","volume":"4","author":"Niu","year":"2023","journal-title":"Comput. Integr. Manuf. Syst."},{"key":"S0263574725102610_ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2008.04.008"},{"key":"S0263574725102610_ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.jksuci.2023.101603"},{"key":"S0263574725102610_ref2","doi-asserted-by":"publisher","DOI":"10.1017\/S0263574723001546"},{"key":"S0263574725102610_ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.compeleceng.2014.12.014"},{"key":"S0263574725102610_ref1","first-page":"57","article-title":"Research on indoor mobile robot path planning based on genetic mechanism improved ant colony algorithm","volume":"30","author":"Liu","year":"2022","journal-title":"J. Beijing Inst. Graph. Commun."},{"key":"S0263574725102610_ref26","first-page":"370","article-title":"Mobile robot path planning based on an improved ACO algorithm and path optimization","volume":"2024","author":"Zhou","year":"2024","journal-title":"Multimed. Tools Appl."},{"key":"S0263574725102610_ref9","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-011-0682-7"},{"key":"S0263574725102610_ref18","unstructured":"[18] Dorigo, M. , Maniezzo, V. and Colorni, \u201cThe ant system: an autocatalytic optimizing process Technical Report 91-O16,\u201d Milan, Italy, Dipartimento di Elettronica, Politecnicl di Milano (1991)."},{"key":"S0263574725102610_ref24","first-page":"185","article-title":"Path planning for coal mine rescue robots based on improved A algorithm","volume":"50","author":"Zhang","year":"2022","journal-title":"Coal Field Geol. Explor."},{"key":"S0263574725102610_ref23","first-page":"649","article-title":"Loop closure detection based on local semantic topology for visual SLAM system","volume":"41","author":"Zhang","year":"2019","journal-title":"Robot"},{"key":"S0263574725102610_ref4","doi-asserted-by":"publisher","DOI":"10.1080\/00207720903470155"},{"key":"S0263574725102610_ref16","doi-asserted-by":"crossref","unstructured":"[16] Sun, J. , Yu, Y. and Xin, L. , \u201cResearch on Path Planning of AGV Based on Improved Ant Colony Optimization Algorithm,\u201d 33rd Chinese Control and Decision Conference (CCDC) (2021) pp. 7567\u20137572.","DOI":"10.1109\/CCDC52312.2021.9601807"},{"key":"S0263574725102610_ref14","first-page":"200","article-title":"Research on off-road vehicle path planning based on improved ant colony algorithm","volume":"40","author":"Song","year":"2023","journal-title":"Comput. Simul."},{"key":"S0263574725102610_ref25","first-page":"194","article-title":"Research on robot path planning using an improved ant colony algorithm","volume":"2023","author":"Huang","year":"2023","journal-title":"Mech. Des. Manuf."},{"key":"S0263574725102610_ref13","first-page":"423","article-title":"Mobile robot path planning based on dynamic extended neighborhood ant colony algorithm","volume":"55","author":"Pan","year":"2023","journal-title":"Trans. Chin. Soc. Agric. Mach."},{"key":"S0263574725102610_ref10","first-page":"18","article-title":"Mobile robot path planning based on multi-step ant colony algorithm","volume":"2023","author":"Xu","year":"2023","journal-title":"Mod. Mach. Tools Autom. Manuf. Tech."},{"key":"S0263574725102610_ref11","first-page":"612","article-title":"Path optimization for mobile robot based on evolutionary ant colony algorithm","volume":"38","author":"Li","year":"2023","journal-title":"Control Decis."},{"key":"S0263574725102610_ref19","first-page":"56","article-title":"Mobile navigation design for ROS robots","volume":"42","author":"Li","year":"2021","journal-title":"Autom. Instrum."},{"key":"S0263574725102610_ref20","doi-asserted-by":"publisher","DOI":"10.1016\/j.net.2023.02.005"}],"container-title":["Robotica"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.cambridge.org\/core\/services\/aop-cambridge-core\/content\/view\/S0263574725102610","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,11,18]],"date-time":"2025-11-18T08:27:10Z","timestamp":1763454430000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.cambridge.org\/core\/product\/identifier\/S0263574725102610\/type\/journal_article"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,10]]},"references-count":27,"journal-issue":{"issue":"10","published-print":{"date-parts":[[2025,10]]}},"alternative-id":["S0263574725102610"],"URL":"https:\/\/doi.org\/10.1017\/s0263574725102610","relation":{},"ISSN":["0263-5747","1469-8668"],"issn-type":[{"value":"0263-5747","type":"print"},{"value":"1469-8668","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,10]]}}}