{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:21:15Z","timestamp":1750220475935,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":12,"publisher":"ACM","license":[{"start":{"date-parts":[[2021,9,24]],"date-time":"2021-09-24T00:00:00Z","timestamp":1632441600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2021,9,24]]},"DOI":"10.1145\/3482632.3487523","type":"proceedings-article","created":{"date-parts":[[2021,11,22]],"date-time":"2021-11-22T17:26:28Z","timestamp":1637601988000},"page":"2824-2829","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":3,"title":["Robot navigation path planning in power plant based on improved wolf pack algorithm"],"prefix":"10.1145","author":[{"given":"Zhan","family":"Wang","sequence":"first","affiliation":[{"name":"Zhejiang Energy Group R&amp;D Institute Co.,Ltd, China"}]},{"given":"Rongdong","family":"Yu","sequence":"additional","affiliation":[{"name":"Zhejiang Energy Group R&amp;D Institute Co.,Ltd, China"}]},{"given":"Tao","family":"Yang","sequence":"additional","affiliation":[{"name":"Zhejiang Energy Group R&amp;D Institute Co.,Ltd, China"}]},{"given":"Jie","family":"Xu","sequence":"additional","affiliation":[{"name":"Zhejiang Energy Group R&amp;D Institute Co.,Ltd, China"}]},{"given":"Yuwei","family":"Meng","sequence":"additional","affiliation":[{"name":"Zhejiang Energy Group R&amp;D Institute Co.,Ltd, China"}]}],"member":"320","published-online":{"date-parts":[[2021,11,22]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.dt.2019.04.011"},{"volume-title":"Qiao Hongyu and Shi Zhigang. Based on an improved glowworm swarm algorithm path planning problem research","author":"Jiang Mio","key":"e_1_3_2_1_2_1","unstructured":"Jiang Mio , Qiao Hongyu and Shi Zhigang. Based on an improved glowworm swarm algorithm path planning problem research . Journal of Changchun University of Technology (Natural Science Edition) , vol. 039 , no. 006, pp. 562-567, 2018. Jiang Mio, Qiao Hongyu and Shi Zhigang. Based on an improved glowworm swarm algorithm path planning problem research. Journal of Changchun University of Technology (Natural Science Edition), vol. 039, no. 006, pp. 562-567, 2018."},{"key":"e_1_3_2_1_3_1","unstructured":"LI Kui.AGV Path Planning Based on Chaos Particle Swarm Optimization Algorithm.Packaging Engineering vol. 39 no. 23 pp. 32-37 2018.  LI Kui.AGV Path Planning Based on Chaos Particle Swarm Optimization Algorithm.Packaging Engineering vol. 39 no. 23 pp. 32-37 2018."},{"issue":"4","key":"e_1_3_2_1_4_1","first-page":"34","article-title":"Global hierarchical path planning of mobile robot based on hybrid genetic particle swarm optimization algorithm","volume":"41","author":"Ouyang H","year":"2020","unstructured":"Ouyang H , Quan Y , Gao L , Global hierarchical path planning of mobile robot based on hybrid genetic particle swarm optimization algorithm . Zhengzhou Daxue Xuebao\/Journal of Zhengzhou University , vol. 41 , no. 4 , pp. 34 - 40 , 2020 . Ouyang H, Quan Y, Gao L, Global hierarchical path planning of mobile robot based on hybrid genetic particle swarm optimization algorithm. Zhengzhou Daxue Xuebao\/Journal of Zhengzhou University, vol. 41, no. 4, pp. 34-40, 2020.","journal-title":"Zhengzhou Daxue Xuebao\/Journal of Zhengzhou University"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2017.12.015"},{"volume-title":"Improved Particle Swarm Optimization Algorithm for AGV Path Planning","author":"Tao Q","key":"e_1_3_2_1_6_1","unstructured":"Tao Q , Sang H , Guo H , Improved Particle Swarm Optimization Algorithm for AGV Path Planning . IEEE Access , no. 99, pp. 1-1, 2021. Tao Q, Sang H, Guo H, Improved Particle Swarm Optimization Algorithm for AGV Path Planning. IEEE Access, no. 99, pp. 1-1, 2021."},{"issue":"99","key":"e_1_3_2_1_7_1","first-page":"1","article-title":"Mobile Robot Path Planning Based on Improved Localized Particle Swarm Optimization","author":"Zhang L","year":"2020","unstructured":"Zhang L , Zhang Y , Li Y . Mobile Robot Path Planning Based on Improved Localized Particle Swarm Optimization . IEEE Sensors Journal , no. 99 , pp. 1 - 1 , 2020 . Zhang L, Zhang Y, Li Y. Mobile Robot Path Planning Based on Improved Localized Particle Swarm Optimization. IEEE Sensors Journal, no. 99, pp. 1-1, 2020.","journal-title":"IEEE Sensors Journal"},{"issue":"1","key":"e_1_3_2_1_8_1","first-page":"178","article-title":"Optimal Robot Path Planning using Enhanced Particle Swarm Optimization algorithm","volume":"61","author":"Ghathwan K I","year":"2020","unstructured":"Ghathwan K I , Mohammed A J , Yusof Y . Optimal Robot Path Planning using Enhanced Particle Swarm Optimization algorithm . Iraqi Journal of Science , vol. 61 , no. 1 , pp. 178 - 184 , 2020 . Ghathwan K I, Mohammed A J, Yusof Y. Optimal Robot Path Planning using Enhanced Particle Swarm Optimization algorithm. Iraqi Journal of Science, vol. 61, no. 1, pp. 178-184, 2020.","journal-title":"Iraqi Journal of Science"},{"issue":"3","key":"e_1_3_2_1_9_1","first-page":"1","volume":"2020","author":"Lian J","year":"2020","unstructured":"Lian J , Yu W , Xiao K , Cubic Spline Interpolation-Based Robot Path Planning Using a Chaotic Adaptive Particle Swarm Optimization Algorithm . Mathematical Problems in Engineering , vol. 2020 , no. 3 , pp. 1 - 20 , 2020 . Lian J, Yu W, Xiao K, Cubic Spline Interpolation-Based Robot Path Planning Using a Chaotic Adaptive Particle Swarm Optimization Algorithm. Mathematical Problems in Engineering, vol. 2020, no. 3, pp. 1-20, 2020.","journal-title":"Mathematical Problems in Engineering"},{"issue":"3","key":"e_1_3_2_1_10_1","first-page":"2021","article-title":"Path Planning and Control Strategy Design for Mobile Robot Based on Hybrid Swarm Optimization Algorithm","volume":"14","author":"Alshaikhli O A","year":"2021","unstructured":"Alshaikhli O A , Al-Araji A . Path Planning and Control Strategy Design for Mobile Robot Based on Hybrid Swarm Optimization Algorithm . International Journal of Intelligent Engineering and Systems , vol. 14 , no. 3 , pp. 2021 , 2021 . Alshaikhli O A, Al-Araji A. Path Planning and Control Strategy Design for Mobile Robot Based on Hybrid Swarm Optimization Algorithm. International Journal of Intelligent Engineering and Systems, vol. 14, no. 3, pp. 2021, 2021.","journal-title":"International Journal of Intelligent Engineering and Systems"},{"issue":"4","key":"e_1_3_2_1_11_1","first-page":"216","article-title":"A HYBRID METAHEURISTIC NAVIGATION ALGORITHM FOR ROBOT PATH ROLLING PLANNING IN AN UNKNOWN ENVIRONMENT","volume":"47","author":"Xu S","year":"2019","unstructured":"Xu S , Ho E , Shum H . A HYBRID METAHEURISTIC NAVIGATION ALGORITHM FOR ROBOT PATH ROLLING PLANNING IN AN UNKNOWN ENVIRONMENT . Control & Intelligent Systems , vol. 47 , no. 4 , pp. 216 - 224 , 2019 . Xu S, Ho E, Shum H. A HYBRID METAHEURISTIC NAVIGATION ALGORITHM FOR ROBOT PATH ROLLING PLANNING IN AN UNKNOWN ENVIRONMENT. Control & Intelligent Systems, vol. 47, no. 4, pp. 216-224, 2019.","journal-title":"Control & Intelligent Systems"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.5815\/ijmsc.2021.01.03"}],"event":{"name":"ICISCAE 2021: 2021 IEEE 4th International Conference on Information Systems and Computer Aided Education","acronym":"ICISCAE 2021","location":"Dalian China"},"container-title":["2021 4th International Conference on Information Systems and Computer Aided Education"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3482632.3487523","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3482632.3487523","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T20:48:44Z","timestamp":1750193324000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3482632.3487523"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,9,24]]},"references-count":12,"alternative-id":["10.1145\/3482632.3487523","10.1145\/3482632"],"URL":"https:\/\/doi.org\/10.1145\/3482632.3487523","relation":{},"subject":[],"published":{"date-parts":[[2021,9,24]]},"assertion":[{"value":"2021-11-22","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}