{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T11:40:48Z","timestamp":1742989248100,"version":"3.40.3"},"publisher-location":"Cham","reference-count":9,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031777301"},{"type":"electronic","value":"9783031777318"}],"license":[{"start":{"date-parts":[[2024,11,14]],"date-time":"2024-11-14T00:00:00Z","timestamp":1731542400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,11,14]],"date-time":"2024-11-14T00:00:00Z","timestamp":1731542400000},"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":[[2025]]},"DOI":"10.1007\/978-3-031-77731-8_18","type":"book-chapter","created":{"date-parts":[[2024,11,19]],"date-time":"2024-11-19T16:43:17Z","timestamp":1732034597000},"page":"192-201","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Efficient Radar Scheduling Using Genetic Algorithms and\u00a0Stochastic Heuristic Initialization"],"prefix":"10.1007","author":[{"given":"Tien Minh","family":"Dam","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Long Viet","family":"Truong","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hung Viet","family":"Bui","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tuan Anh","family":"Nguyen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tiem Manh","family":"Nguyen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2024,11,14]]},"reference":[{"key":"18_CR1","doi-asserted-by":"crossref","unstructured":"Kurdzo, J.M., Palmer, R.D.: Objective optimization of weather radar networks for low-level coverage using a genetic algorithm. J. Atmos. Oceanic Technol. 29(6), 807\u2013821 (2012). ISSN 0739-0572, 1520-0426. https:\/\/journals.ametsoc.org\/view\/journals\/atot\/29\/6\/jtech-d-11-00076_1.xml","DOI":"10.1175\/JTECH-D-11-00076.1"},{"key":"18_CR2","doi-asserted-by":"publisher","unstructured":"Boudjemaa, R.: Maximisation of weather radar network coverage based on accelerated particle swarm optimisation. Int. J. Metaheuristics 4(3), 205\u2013219 (2015). ISSN 1755-2176. https:\/\/doi.org\/10.1504\/IJMHEUR.2015.074420","DOI":"10.1504\/IJMHEUR.2015.074420"},{"key":"18_CR3","doi-asserted-by":"crossref","unstructured":"Li, X., et al.: Fast antenna deployment method for multistatic radar with multiple dynamic surveillance regions. Signal Process. 170, 107419 (2020). ISSN 01651684. https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0165168419304712","DOI":"10.1016\/j.sigpro.2019.107419"},{"key":"18_CR4","doi-asserted-by":"crossref","unstructured":"Tema, E.Y., Sahmoud, S., Kiraz, B.: Radar placement optimization based on adaptive multi-objective meta-heuristics. Expert Syst. Appl. 239, 122568 (2024). ISSN 0957-4174. https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0957417423030701","DOI":"10.1016\/j.eswa.2023.122568"},{"key":"18_CR5","doi-asserted-by":"crossref","unstructured":"Glover, F., McMillan, C.: The general employee scheduling problem. An integration of MS and AI. Comput. Oper. Res. Appl. Integer Program. 13(5), 563\u2013573 (1986). ISSN 0305-0548. https:\/\/www.sciencedirect.com\/science\/article\/pii\/030505488690050X","DOI":"10.1016\/0305-0548(86)90050-X"},{"key":"18_CR6","doi-asserted-by":"crossref","unstructured":"Tanomaru, J.: Staff scheduling by a genetic algorithm with heuristic operators. In: 1995 IEEE International Conference on Systems, Man and Cybernetics. Intelligent Systems for the 21st Century, vol.\u00a03, pp. 1951\u20131956 (1995). https:\/\/ieeexplore.ieee.org\/document\/538063","DOI":"10.1109\/ICSMC.1995.538063"},{"key":"18_CR7","doi-asserted-by":"crossref","unstructured":"Aickelin, U., Dowsland, K.A.: An indirect genetic algorithm for a nurse-scheduling problem. Comput. Oper. Res. 31(5), 761\u2013778 (2004). ISSN 0305-0548. https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0305054803000340","DOI":"10.1016\/S0305-0548(03)00034-0"},{"key":"18_CR8","doi-asserted-by":"crossref","unstructured":"Kazimipour, B., Li, X., Qin, K.: A review of population initialization techniques for evolutionary algorithms. In: Proceedings of the 2014 IEEE Congress on Evolutionary Computation, CEC 2014 (2014)","DOI":"10.1109\/CEC.2014.6900618"},{"key":"18_CR9","doi-asserted-by":"crossref","unstructured":"Vla\u0161i\u0107, I., \u0110urasevi\u0107, M., Jakobovi\u0107, D.: Improving genetic algorithm performance by population initialisation with dispatching rules. Comput. Ind. Eng. 137, 106030 (2019). ISSN 03608352. https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0360835219304899","DOI":"10.1016\/j.cie.2019.106030"}],"container-title":["Lecture Notes in Computer Science","Intelligent Data Engineering and Automated Learning \u2013 IDEAL 2024"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-77731-8_18","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,11,19]],"date-time":"2024-11-19T16:45:35Z","timestamp":1732034735000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-77731-8_18"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,11,14]]},"ISBN":["9783031777301","9783031777318"],"references-count":9,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-77731-8_18","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2024,11,14]]},"assertion":[{"value":"14 November 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"The authors have no competing interests to declare that are relevant to the content of this article.","order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Disclosure of Interests"}},{"value":"IDEAL","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Intelligent Data Engineering and Automated Learning","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Valencia","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Spain","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2024","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"19 November 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"21 November 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ideal2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}