{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,25]],"date-time":"2025-03-25T14:24:23Z","timestamp":1742912663283,"version":"3.40.3"},"publisher-location":"Cham","reference-count":10,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030267650"},{"type":"electronic","value":"9783030267667"}],"license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019]]},"DOI":"10.1007\/978-3-030-26766-7_55","type":"book-chapter","created":{"date-parts":[[2019,7,29]],"date-time":"2019-07-29T23:18:04Z","timestamp":1564442284000},"page":"606-616","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Non-directional Learning Strategy Particle Swarm Optimization Algorithm"],"prefix":"10.1007","author":[{"given":"Zhi","family":"Ye","sequence":"first","affiliation":[]},{"given":"Cong","family":"Li","sequence":"additional","affiliation":[]},{"given":"Yingshi","family":"Liang","sequence":"additional","affiliation":[]},{"given":"Zhexin","family":"Chen","sequence":"additional","affiliation":[]},{"given":"Lijing","family":"Tan","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2019,7,24]]},"reference":[{"key":"55_CR1","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"601","DOI":"10.1007\/BFb0040811","volume-title":"Evolutionary Programming VII","author":"PJ Angeline","year":"1998","unstructured":"Angeline, P.J.: Evolutionary optimization versus particle swarm optimization: Philosophy and performance differences. In: Porto, V.W., Saravanan, N., Waagen, D., Eiben, A.E. (eds.) EP 1998. LNCS, vol. 1447, pp. 601\u2013610. Springer, Heidelberg (1998). https:\/\/doi.org\/10.1007\/BFb0040811"},{"key":"55_CR2","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.eswa.2018.11.020","volume":"120","author":"L Cao","year":"2019","unstructured":"Cao, L.: A collaboration-based particle swarm optimizer with history-guided estimation for optimization in dynamic environments. Expert Syst. Appl. 120, 1\u201313 (2019)","journal-title":"Expert Syst. Appl."},{"key":"55_CR3","doi-asserted-by":"publisher","first-page":"43","DOI":"10.1016\/j.ins.2014.08.039","volume":"291","author":"R Cheng","year":"2015","unstructured":"Cheng, R.: A social learning particle swarm optimization algorithm for scalable optimization. Inf. Sci. 291, 43\u201360 (2015)","journal-title":"Inf. Sci."},{"key":"55_CR4","doi-asserted-by":"publisher","first-page":"45","DOI":"10.1016\/j.neucom.2018.05.129","volume":"353","author":"Antonio M. Dur\u00e1n-Rosal","year":"2019","unstructured":"Dur\u00e1n-Rosal, A.M.: A hybrid dynamic exploitation barebones particle swarm optimization algorithm for time series segmentation. Neurocomputing (2019). https:\/\/doi.org\/10.1016\/j.neucom.2018.05.129","journal-title":"Neurocomputing"},{"key":"55_CR5","unstructured":"Kennedy, J.: Particle swarm optimization. In: Proceedings of International Conference on Neural Networks, pp. 1942\u20131948. IEEE, Perth, The University of Western Australia, Perth, Western Australia (1995)"},{"issue":"3","key":"55_CR6","doi-asserted-by":"publisher","first-page":"281","DOI":"10.1109\/TEVC.2005.857610","volume":"10","author":"JJ Liang","year":"2006","unstructured":"Liang, J.J.: Comprehensive learning particle swarm optimizer for global optimization of multimodal functions. IEEE Trans. Evol. Comput. 10(3), 281\u2013295 (2006)","journal-title":"IEEE Trans. Evol. Comput."},{"key":"55_CR7","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"582","DOI":"10.1007\/11539902_71","volume-title":"Advances in Natural Computation","author":"KE Parsopoulos","year":"2005","unstructured":"Parsopoulos, K.E., Vrahatis, M.N.: Unified particle swarm optimization for solving constrained engineering optimization problems. In: Wang, L., Chen, K., Ong, Y.S. (eds.) ICNC 2005. LNCS, vol. 3612, pp. 582\u2013591. Springer, Heidelberg (2005). https:\/\/doi.org\/10.1007\/11539902_71"},{"key":"55_CR8","doi-asserted-by":"crossref","unstructured":"Rosli, A.D.: Application of particle swarm optimization algorithm for optimizing ANN model in recognizing ripeness of citrus. In: Proceedings of IOP Conference Series on Materials Science and Engineering, Phuket, Thailand, vol. 340, pp. 012\u2013015. IOP Publishing (2018)","DOI":"10.1088\/1757-899X\/340\/1\/012015"},{"issue":"2","key":"55_CR9","doi-asserted-by":"publisher","first-page":"1095","DOI":"10.1109\/TMAG.2006.871568","volume":"42","author":"JH Seo","year":"2006","unstructured":"Seo, J.H.: Multimodal function optimization based on particle swarm optimization. IEEE Trans. Mag. 42(2), 1095\u20131098 (2006)","journal-title":"IEEE Trans. Mag."},{"key":"55_CR10","doi-asserted-by":"publisher","first-page":"49","DOI":"10.1016\/j.swevo.2018.01.011","volume":"41","author":"D Tian","year":"2018","unstructured":"Tian, D.: MPSO: modified particle swarm optimization and its applications. Swarm Evol. Comput. 41, 49\u201368 (2018)","journal-title":"Swarm Evol. Comput."}],"container-title":["Lecture Notes in Computer Science","Intelligent Computing Methodologies"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-26766-7_55","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,13]],"date-time":"2024-03-13T10:29:26Z","timestamp":1710325766000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-26766-7_55"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"ISBN":["9783030267650","9783030267667"],"references-count":10,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-26766-7_55","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2019]]},"assertion":[{"value":"24 July 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICIC","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Intelligent Computing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Nanchang","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":"2019","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"3 August 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"6 August 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"15","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icic2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/ic-ic.tongji.edu.cn\/2019\/index.htm","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}