{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,1]],"date-time":"2025-12-01T15:06:31Z","timestamp":1764601591623,"version":"3.37.3"},"reference-count":9,"publisher":"Wiley","license":[{"start":{"date-parts":[[2011,1,19]],"date-time":"2011-01-19T00:00:00Z","timestamp":1295395200000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/3.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Advances in Artificial Intelligence"],"published-print":{"date-parts":[[2011,1,19]]},"abstract":"<jats:p>We analyze the convergence time of particle swarm optimization (PSO) on the facet of particle interaction. We firstly introduce a statistical interpretation of social-only PSO in order to capture the essence of particle interaction, which is one of the key mechanisms of PSO. We then use the statistical model to obtain theoretical results on the convergence time. Since the theoretical analysis is conducted on the social-only model of PSO, instead of on common models in practice, to verify the validity of our results, numerical experiments are executed on benchmark functions with a regular PSO program.<\/jats:p>","DOI":"10.1155\/2011\/204750","type":"journal-article","created":{"date-parts":[[2012,1,19]],"date-time":"2012-01-19T21:04:23Z","timestamp":1327007063000},"page":"1-7","source":"Crossref","is-referenced-by-count":7,"title":["Convergence Time Analysis of Particle Swarm Optimization Based on Particle Interaction"],"prefix":"10.1155","volume":"2011","author":[{"given":"Chao-Hong","family":"Chen","sequence":"first","affiliation":[{"name":"Department of Computer Science, National Chiao Tung University, HsinChu 300, Taiwan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5979-6926","authenticated-orcid":true,"given":"Ying-ping","family":"Chen","sequence":"additional","affiliation":[{"name":"Department of Computer Science, National Chiao Tung University, HsinChu 300, Taiwan"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","reference":[{"key":"9","first-page":"253","volume":"8","year":"1998","journal-title":"Intelligent Engineering Systems Through Artificial Neural Networks"},{"key":"11","doi-asserted-by":"publisher","DOI":"10.1109\/4235.985692"},{"key":"15","doi-asserted-by":"publisher","DOI":"10.1016\/S0020-0190(02)00447-7"},{"key":"16","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2005.02.003"},{"key":"17","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2005.857077"},{"key":"18","doi-asserted-by":"publisher","DOI":"10.1016\/j.ipl.2006.10.005"},{"key":"19","doi-asserted-by":"publisher","DOI":"10.1016\/j.tcs.2010.03.003"},{"year":"1975","key":"21"},{"key":"22","doi-asserted-by":"publisher","DOI":"10.1109\/4235.771163"}],"container-title":["Advances in Artificial Intelligence"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/downloads.hindawi.com\/archive\/2011\/204750.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/archive\/2011\/204750.xml","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/archive\/2011\/204750.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,12,8]],"date-time":"2020-12-08T21:22:47Z","timestamp":1607462567000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.hindawi.com\/journals\/aai\/2011\/204750\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2011,1,19]]},"references-count":9,"alternative-id":["204750","204750"],"URL":"https:\/\/doi.org\/10.1155\/2011\/204750","relation":{},"ISSN":["1687-7470","1687-7489"],"issn-type":[{"type":"print","value":"1687-7470"},{"type":"electronic","value":"1687-7489"}],"subject":[],"published":{"date-parts":[[2011,1,19]]}}}