{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,7]],"date-time":"2026-05-07T03:45:54Z","timestamp":1778125554884,"version":"3.51.4"},"publisher-location":"Singapore","reference-count":20,"publisher":"Springer Nature Singapore","isbn-type":[{"value":"9789819915484","type":"print"},{"value":"9789819915491","type":"electronic"}],"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_14","type":"book-chapter","created":{"date-parts":[[2023,4,17]],"date-time":"2023-04-17T09:14:00Z","timestamp":1681722840000},"page":"165-178","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Task Location Distribution Based Genetic Algorithm for UAV Mobile Crowd Sensing"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1685-0144","authenticated-orcid":false,"given":"Yang","family":"Huang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Aimin","family":"Luo","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mengmeng","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Liang","family":"Bai","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4313-8312","authenticated-orcid":false,"given":"Yanjie","family":"Song","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jiting","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2023,4,18]]},"reference":[{"issue":"11","key":"14_CR1","doi-asserted-by":"publisher","first-page":"5526","DOI":"10.1109\/TCOMM.2018.2857461","volume":"66","author":"Z Zhou","year":"2018","unstructured":"Zhou, Z., et al.: When mobile crowd sensing meets UAV: energy-efficient task assignment and route planning. IEEE Trans. Commun. 66(11), 5526\u20135538 (2018)","journal-title":"IEEE Trans. Commun."},{"key":"14_CR2","doi-asserted-by":"crossref","unstructured":"Edison, E., Shima, T.: Genetic algorithm for cooperative UAV task assignment and path optimization. In: AIAA Guidance, Navigation and Control Conference and Exhibit, p. 6317 (2008)","DOI":"10.2514\/6.2008-6317"},{"key":"14_CR3","unstructured":"Shima, T., Rasmussen, S.J.: Sparks, A. G.: UAV cooperative multiple task assignments using genetic algorithms. In: Proceedings of the 2005, American Control Conference, pp. 2989\u20132994. IEEE (2005)"},{"key":"14_CR4","doi-asserted-by":"crossref","unstructured":"Sujit, P. B., Sinha, A., Ghose, D.: Multiple UAV task allocation using negotiation. In: Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems, pp. 471\u2013478 (2006)","DOI":"10.1145\/1160633.1160719"},{"key":"14_CR5","doi-asserted-by":"publisher","DOI":"10.1016\/j.swevo.2022.101163","volume":"75","author":"J Lin","year":"2022","unstructured":"Lin, J., Pan, L.: Multi-objective 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":"12","key":"14_CR6","doi-asserted-by":"publisher","first-page":"1713","DOI":"10.1631\/FITEE.2000315","volume":"21","author":"PQ Huang","year":"2020","unstructured":"Huang, P.Q., Wang, Y., Wang, K.Z.: Energy-efficient trajectory planning for a multi-UAV-assisted mobile edge computing system. Front. Inform. Technol. Electron. Eng. 21(12), 1713\u20131725 (2020)","journal-title":"Front. Inform. Technol. Electron. Eng."},{"key":"14_CR7","doi-asserted-by":"publisher","first-page":"140","DOI":"10.1016\/j.future.2018.11.014","volume":"95","author":"J Yang","year":"2019","unstructured":"Yang, J., You, X., Wu, G., Hassan, M.M., Almogren, A., Guna, J.: Application of reinforcement learning in UAV cluster task scheduling. Futur. Gener. Comput. Syst. 95, 140\u2013148 (2019)","journal-title":"Futur. Gener. Comput. Syst."},{"key":"14_CR8","doi-asserted-by":"publisher","first-page":"150","DOI":"10.1016\/j.comcom.2020.03.019","volume":"155","author":"W Ejaz","year":"2020","unstructured":"Ejaz, W., Ahmed, A., Mushtaq, A., Ibnkahla, M.: Energy-efficient task scheduling and physiological assessment in disaster management using UAV-assisted networks. Comput. Commun. 155, 150\u2013157 (2020)","journal-title":"Comput. Commun."},{"issue":"11","key":"14_CR9","doi-asserted-by":"publisher","first-page":"2930","DOI":"10.1016\/j.cja.2020.05.001","volume":"33","author":"C Wang","year":"2020","unstructured":"Wang, C., Wu, L., Yan, C., Wang, Z., Long, H., Yu, C.: Coactive design of explainable agent-based task planning and deep reinforcement learning for human-UAVs teamwork. Chin. J. Aeronaut. 33(11), 2930\u20132945 (2020). https:\/\/doi.org\/10.1016\/j.cja.2020.05.001","journal-title":"Chin. J. Aeronaut."},{"issue":"11","key":"14_CR10","doi-asserted-by":"publisher","first-page":"2989","DOI":"10.1016\/j.cja.2020.03.029","volume":"33","author":"LI Xiaohuan","year":"2020","unstructured":"Xiaohuan, L.I., et al.: An aggregate flow based scheduler in multi-task cooperated UAVs network. Chin. J. Aeronaut. 33(11), 2989\u20132998 (2020)","journal-title":"Chin. J. Aeronaut."},{"key":"14_CR11","doi-asserted-by":"publisher","DOI":"10.1016\/j.comnet.2021.107913","volume":"193","author":"Y Tang","year":"2021","unstructured":"Tang, Y., Miao, Y., Barnawi, A., Alzahrani, B., Alotaibi, R., Hwang, K.: A joint global and local path planning optimization for UAV task scheduling towards crowd air monitoring. Comput. Netw. 193, 107913 (2021)","journal-title":"Comput. Netw."},{"key":"14_CR12","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2019.105643","volume":"83","author":"H Kurdi","year":"2019","unstructured":"Kurdi, H., AlDaood, M.F., Al-Megren, S., Aloboud, E., Aldawood, A.S., Youcef-Toumi, K.: Adaptive task allocation for multi-UAV systems based on bacteria foraging behaviour. Appl. Soft Comput. 83, 105643 (2019)","journal-title":"Appl. Soft Comput."},{"key":"14_CR13","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2020.106623","volume":"96","author":"Y Xu","year":"2020","unstructured":"Xu, Y., Sun, Z., Xue, X., Gu, W., Peng, B.: A hybrid algorithm based on MOSFLA and GA for multi-UAVs plant protection task assignment and sequencing optimization. Appl. Soft Comput. 96, 106623 (2020)","journal-title":"Appl. Soft Comput."},{"issue":"4","key":"14_CR14","doi-asserted-by":"publisher","first-page":"433","DOI":"10.1016\/j.dcan.2020.04.008","volume":"6","author":"J Chen","year":"2020","unstructured":"Chen, J., Chen, S., Luo, S., Wang, Q., Cao, B., Li, X.: An intelligent task offloading algorithm (iTOA) for UAV edge computing network. Dig. Commun. Netw. 6(4), 433\u2013443 (2020)","journal-title":"Dig. Commun. Netw."},{"issue":"6","key":"14_CR15","doi-asserted-by":"publisher","first-page":"2853","DOI":"10.1109\/TAES.2018.2831138","volume":"54","author":"Y Chen","year":"2018","unstructured":"Chen, Y., Yang, D., Yu, J.: Multi-UAV task assignment with parameter and time-sensitive uncertainties using modified two-part wolf pack search algorithm. IEEE Trans. Aerosp. Electron. Syst. 54(6), 2853\u20132872 (2018)","journal-title":"IEEE Trans. Aerosp. Electron. Syst."},{"key":"14_CR16","doi-asserted-by":"publisher","DOI":"10.1016\/j.comnet.2020.107644","volume":"184","author":"C Rottondi","year":"2021","unstructured":"Rottondi, C., Malandrino, F., Bianco, A., Chiasserini, C.F., Stavrakakis, I.: Scheduling of emergency tasks for multiservice UAVs in post-disaster scenarios. Comput. Netw. 184, 107644 (2021)","journal-title":"Comput. Netw."},{"issue":"2","key":"14_CR17","doi-asserted-by":"publisher","first-page":"1781","DOI":"10.1109\/JIOT.2018.2878602","volume":"6","author":"M Hu","year":"2018","unstructured":"Hu, M., et al.: Joint routing and scheduling for vehicle-assisted multidrone surveillance. IEEE Internet Things J. 6(2), 1781\u20131790 (2018)","journal-title":"IEEE Internet Things J."},{"key":"14_CR18","doi-asserted-by":"crossref","unstructured":"Ernest, N., Cohen, K., Schumacher, C.: Collaborative tasking of UAVs using a genetic fuzzy approach. In: 51st AIAA Aerospace Sciences Meeting including the New Horizons Forum and Aerospace Exposition, p. 1032 (2013)","DOI":"10.2514\/6.2013-1032"},{"key":"14_CR19","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1155\/2020\/6650375","volume":"2020","author":"L Wang","year":"2020","unstructured":"Wang, L., Zhang, X., Deng, P., Kang, J., Gao, Z., Liu, L.: An energy-balanced path planning algorithm for multiple ferrying UAVs based on GA. Int. J. Aerosp. Eng. 2020, 1\u201315 (2020)","journal-title":"Int. J. Aerosp. Eng."},{"issue":"4","key":"14_CR20","doi-asserted-by":"publisher","first-page":"226","DOI":"10.3390\/info11040226","volume":"11","author":"L Zhang","year":"2020","unstructured":"Zhang, L., Zhu, Y., Shi, X.: A hierarchical decision-making method with a fuzzy ant colony algorithm for mission planning of multiple UAVs. Information 11(4), 226 (2020)","journal-title":"Information"}],"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_14","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,4,17]],"date-time":"2023-04-17T09:33:26Z","timestamp":1681724006000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-99-1549-1_14"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"ISBN":["9789819915484","9789819915491"],"references-count":20,"URL":"https:\/\/doi.org\/10.1007\/978-981-99-1549-1_14","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"value":"1865-0929","type":"print"},{"value":"1865-0937","type":"electronic"}],"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)"}}]}}