{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,30]],"date-time":"2025-12-30T03:12:32Z","timestamp":1767064352178},"reference-count":0,"publisher":"National Library of Serbia","issue":"1","license":[{"start":{"date-parts":[[2016,1,1]],"date-time":"2016-01-01T00:00:00Z","timestamp":1451606400000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["ComSIS","COMPUT SCI INF SYST","COMPUT SCI INFORM SY","COMPUTER SCI INFORM","COMSIS J"],"published-print":{"date-parts":[[2016]]},"abstract":"<jats:p>Animal migration optimization (AMO) searches optimization solutions by\n   migration process and updating process. In this paper, a novel migration\n   process has been proposed to improve the exploration and exploitation ability\n   of the animal migration optimization. Twenty-three typical benchmark test\n   functions are applied to verify the effects of these improvements. The\n   results show that the improved algorithm has faster convergence speed and\n   higher convergence precision than the original animal migration optimization\n   and other some intelligent optimization algorithms such as particle swarm\n   optimization (PSO), cuckoo search (CS), firefly algorithm (FA), bat-inspired\n   algorithm (BA) and artificial bee colony (ABC).<\/jats:p>","DOI":"10.2298\/csis141229041l","type":"journal-article","created":{"date-parts":[[2015,10,13]],"date-time":"2015-10-13T01:11:26Z","timestamp":1444698686000},"page":"259-285","source":"Crossref","is-referenced-by-count":4,"title":["A novel animal migration algorithm for global numerical optimization"],"prefix":"10.2298","volume":"13","author":[{"given":"Qifang","family":"Luo","sequence":"first","affiliation":[{"name":"Guangxi University for Nationalities, College of Information Science and Engineering, Nanning, China"}]},{"given":"Mingzhi","family":"Ma","sequence":"additional","affiliation":[{"name":"Guangxi High School Key Laboratory of Complex System and Computational Intelligence, Nanning, China"}]},{"given":"Yongquan","family":"Zhou","sequence":"additional","affiliation":[{"name":"Guangxi University for Nationalities, College of Information Science and Engineering, Nanning, China + Guangxi High School Key Laboratory of Complex System and Computational Intelligence, Nanning, China"}]}],"member":"1078","container-title":["Computer Science and Information Systems"],"original-title":[],"language":"en","deposited":{"date-parts":[[2023,5,29]],"date-time":"2023-05-29T08:32:33Z","timestamp":1685349153000},"score":1,"resource":{"primary":{"URL":"https:\/\/doiserbia.nb.rs\/Article.aspx?ID=1820-02141500041L"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016]]},"references-count":0,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2016]]}},"URL":"https:\/\/doi.org\/10.2298\/csis141229041l","relation":{},"ISSN":["1820-0214","2406-1018"],"issn-type":[{"value":"1820-0214","type":"print"},{"value":"2406-1018","type":"electronic"}],"subject":[],"published":{"date-parts":[[2016]]}}}