{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,25]],"date-time":"2025-03-25T14:37:44Z","timestamp":1742913464107,"version":"3.40.3"},"publisher-location":"Singapore","reference-count":18,"publisher":"Springer Nature Singapore","isbn-type":[{"type":"print","value":"9789819915484"},{"type":"electronic","value":"9789819915491"}],"license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023]]},"DOI":"10.1007\/978-981-99-1549-1_9","type":"book-chapter","created":{"date-parts":[[2023,4,17]],"date-time":"2023-04-17T09:14:00Z","timestamp":1681722840000},"page":"106-116","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Global Path Planning for Unmanned Ships Based on Improved Particle Swarm Algorithm"],"prefix":"10.1007","author":[{"given":"Chang","family":"Liu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kui","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2023,4,18]]},"reference":[{"issue":"1","key":"9_CR1","doi-asserted-by":"publisher","first-page":"15","DOI":"10.1049\/csy2.12040","volume":"4","author":"G Ren","year":"2022","unstructured":"Ren, G., Liu, P., He, Z.: A global path planning algorithm based on the feature map. IET Cyber-Syst. Robot. 4(1), 15\u201324 (2022)","journal-title":"IET Cyber-Syst. Robot."},{"issue":"3","key":"9_CR2","doi-asserted-by":"publisher","first-page":"3633","DOI":"10.1007\/s13369-021-06452-3","volume":"47","author":"S Ganesan","year":"2022","unstructured":"Ganesan, S., Natarajan, S.K., Srinivasan, J.: A global path planning algorithm for mobile robot in cluttered environments with an improved initial cost solution and convergence rate. Arab. J. Sci. Eng. 47(3), 3633\u20133647 (2022). https:\/\/doi.org\/10.1007\/s13369-021-06452-3","journal-title":"Arab. J. Sci. Eng."},{"issue":"8","key":"9_CR3","doi-asserted-by":"publisher","first-page":"3605","DOI":"10.3390\/app11083605","volume":"11","author":"Y Tao","year":"2021","unstructured":"Tao, Y., et al.: A mobile service robot global path planning method based on ant colony optimization and fuzzy control. Appl. Sci. 11(8), 3605 (2021)","journal-title":"Appl. Sci."},{"key":"9_CR4","doi-asserted-by":"publisher","DOI":"10.1016\/j.oceaneng.2022.112809","volume":"266","author":"Y Xiaofei","year":"2022","unstructured":"Xiaofei, Y., Yilun, S., Wei, L., Hui, Y., Weibo, Z., Zhengrong, X.: Global path planning algorithm based on double DQN for multi-tasks amphibious unmanned surface vehicle. Ocean Eng. 266, 112809 (2022)","journal-title":"Ocean Eng."},{"key":"9_CR5","doi-asserted-by":"publisher","DOI":"10.1016\/j.swevo.2022.101163","volume":"75","author":"J Lin","year":"2022","unstructured":"Lin, J., Pan, L.: Multiobjective trajectory optimization with a cutting and padding encoding strategy for single-UAV-assisted mobile edge computing system. Swarm Evol. Comput. 75, 101163 (2022)","journal-title":"Swarm Evol. Comput."},{"issue":"4","key":"9_CR6","doi-asserted-by":"publisher","first-page":"1105","DOI":"10.1007\/s42405-020-00262-x","volume":"21","author":"JH Bai","year":"2020","unstructured":"Bai, J.H., Oh, Y.-J.: Global path planning of lunar rover under static and dynamic constraints. Int. J. Aeronaut. Space Sci. 21(4), 1105\u20131113 (2020). https:\/\/doi.org\/10.1007\/s42405-020-00262-x","journal-title":"Int. J. Aeronaut. Space Sci."},{"issue":"2","key":"9_CR7","doi-asserted-by":"publisher","first-page":"34","DOI":"10.1007\/s10846-022-01576-6","volume":"104","author":"J Ou","year":"2022","unstructured":"Ou, J., Hong, S.H., Ziehl, P., Wang, Y.: GPU-based global path planning using genetic algorithm with near corner initialization. J. Intell. Rob. Syst. 104(2), 34 (2022)","journal-title":"J. Intell. Rob. Syst."},{"key":"9_CR8","doi-asserted-by":"publisher","first-page":"e612","DOI":"10.7717\/peerj-cs.612","volume":"7","author":"D Wang","year":"2021","unstructured":"Wang, D., Zhang, J., Jin, J., Liu, D., Mao, X.: Rapid global path planning algorithm for unmanned surface vehicles in large-scale and multi-island marine environments. PeerJ. Comput. Sci. 7, e612 (2021)","journal-title":"PeerJ. Comput. Sci."},{"key":"9_CR9","first-page":"012014","volume":"1284","author":"XM Lin","year":"2019","unstructured":"Lin, X.M., et al.: research on global path planning method of mobile robot based on BAS. J. Phys: Conf. Ser. 1284, 012014 (2019)","journal-title":"J. Phys: Conf. Ser."},{"issue":"2","key":"9_CR10","first-page":"022032","volume":"1744","author":"H Zhao","year":"2021","unstructured":"Zhao, H., Zhou, H., Yang, G.: Research on global path planning of artificial intelligence robot based on improved ant colony algorithm. J. Phys: Conf. Ser. 1744(2), 022032 (2021)","journal-title":"J. Phys: Conf. Ser."},{"issue":"1","key":"9_CR11","first-page":"012014","volume":"1894","author":"Z Hu","year":"2021","unstructured":"Hu, Z., Wang, Z., Yin, Y.: Research on three dimensional global path planning of unmanned underwater vehicle. J. Phys: Conf. Ser. 1894(1), 012014 (2021)","journal-title":"J. Phys: Conf. Ser."},{"issue":"4","key":"9_CR12","doi-asserted-by":"publisher","first-page":"4925","DOI":"10.3233\/JIFS-179978","volume":"39","author":"S Tian","year":"2020","unstructured":"Tian, S., Li, Y., Li, J., Liu, G.: Robot global path planning using PSO algorithm based on the interaction mechanism between leaders and individuals. J. Intell. Fuzzy Syst. 39(4), 4925\u20134933 (2020)","journal-title":"J. Intell. Fuzzy Syst."},{"issue":"1","key":"9_CR13","doi-asserted-by":"publisher","first-page":"e79","DOI":"10.1002\/adc2.79","volume":"4","author":"M Al-Gabalawy","year":"2022","unstructured":"Al-Gabalawy, M.: Path planning of robotic arm based on deep reinforcement learning algorithm. Adv. Control Appl.: Eng. Ind. Syst. 4(1), e79 (2022)","journal-title":"Adv. Control Appl.: Eng. Ind. Syst."},{"issue":"6","key":"9_CR14","doi-asserted-by":"publisher","first-page":"949","DOI":"10.1109\/TEVC.2019.2896002","volume":"23","author":"C He","year":"2019","unstructured":"He, C., et al.: Accelerating large-scale multiobjective optimization via problem reformulation. IEEE Trans. Evol. Comput. 23(6), 949\u2013961 (2019)","journal-title":"IEEE Trans. Evol. Comput."},{"issue":"4","key":"9_CR15","doi-asserted-by":"publisher","first-page":"494","DOI":"10.1007\/s10015-021-00706-x","volume":"26","author":"X Wang","year":"2021","unstructured":"Wang, X., Moriyama, K., Brooks, L., Kameyama, S., Matsuno, F.: Real-time global path planning for mobile robots with a complex 3-D shape in large-scale 3-D environment. Artif. Life Robot. 26(4), 494\u2013502 (2021). https:\/\/doi.org\/10.1007\/s10015-021-00706-x","journal-title":"Artif. Life Robot."},{"issue":"6","key":"9_CR16","doi-asserted-by":"publisher","first-page":"1150","DOI":"10.1109\/TEVC.2020.2987804","volume":"24","author":"PQ Huang","year":"2020","unstructured":"Huang, P.Q., Wang, Y.: A framework for scalable bilevel optimization: identifying and utilizing the interactions between upper-level and lower-level variables. IEEE Trans. Evol. Comput. 24(6), 1150\u20131163 (2020)","journal-title":"IEEE Trans. Evol. Comput."},{"key":"9_CR17","doi-asserted-by":"publisher","first-page":"108495","DOI":"10.1016\/j.asoc.2022.108495","volume":"118","author":"C Peng","year":"2022","unstructured":"Peng, C., Qiu, S.: A decomposition-based constrained multi-objective evolutionary algorithm with a local infeasibility utilization mechanism for UAV path planning. Appl. Soft Comput. J. 118, 108495 (2022)","journal-title":"Appl. Soft Comput. J."},{"issue":"3","key":"9_CR18","doi-asserted-by":"publisher","first-page":"992","DOI":"10.1016\/j.ejor.2021.09.008","volume":"300","author":"NA Kyriakakis","year":"2022","unstructured":"Kyriakakis, N.A., Marinaki, M., Matsatsinis, N., Marinakis, Y.: A cumulative unmanned aerial vehicle routing problem approach for humanitarian coverage path planning. Eur. J. Oper. Res. 300(3), 992\u20131004 (2022)","journal-title":"Eur. J. Oper. Res."}],"container-title":["Communications in Computer and Information Science","Bio-Inspired Computing: Theories and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-99-1549-1_9","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,4,17]],"date-time":"2023-04-17T09:32:58Z","timestamp":1681723978000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-99-1549-1_9"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"ISBN":["9789819915484","9789819915491"],"references-count":18,"URL":"https:\/\/doi.org\/10.1007\/978-981-99-1549-1_9","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"type":"print","value":"1865-0929"},{"type":"electronic","value":"1865-0937"}],"subject":[],"published":{"date-parts":[[2023]]},"assertion":[{"value":"18 April 2023","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"BIC-TA","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Bio-Inspired Computing: Theories and Applications","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Wuhan","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2022","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"16 December 2022","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"18 December 2022","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"17","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"bicta2022","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/2022.bicta.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Easychair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"148","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"56","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"0","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"38% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"4","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}