{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T15:40:37Z","timestamp":1743090037798,"version":"3.40.3"},"publisher-location":"Cham","reference-count":16,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030845216"},{"type":"electronic","value":"9783030845223"}],"license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021]]},"DOI":"10.1007\/978-3-030-84522-3_52","type":"book-chapter","created":{"date-parts":[[2021,8,8]],"date-time":"2021-08-08T23:04:24Z","timestamp":1628463864000},"page":"635-651","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["An Improved Chicken Swarm Optimization Algorithm with Fireworks Factor"],"prefix":"10.1007","author":[{"given":"Baofeng","family":"Zheng","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiuxi","family":"Wei","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Huajuan","family":"Huang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2021,8,9]]},"reference":[{"key":"52_CR1","doi-asserted-by":"crossref","unstructured":"Kennedy, J., Eberhart, R.: Particle swarm optimization. In: IEEE Proceedings of ICNN'95-International Conference on Neural Networks, vol. 4, pp. 1942\u20131948 (1995)","DOI":"10.1109\/ICNN.1995.488968"},{"issue":"4","key":"52_CR2","first-page":"1201","volume":"29","author":"MA Yong-Jie","year":"2012","unstructured":"Yong-Jie, M.A., Yun, W.X.: Research progress of genetic algorithm. Appl. Res. Comput. 29(4), 1201\u20131206 (2012)","journal-title":"Appl. Res. Comput."},{"key":"52_CR3","doi-asserted-by":"crossref","unstructured":"Iztok, F., et al.: A comprehensive review of firefly algorithms. Swarm Evol. Comput. 13, 34\u201346 (2013)","DOI":"10.1016\/j.swevo.2013.06.001"},{"key":"52_CR4","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"86","DOI":"10.1007\/978-3-319-11857-4_10","volume-title":"Advances in Swarm Intelligence","author":"X Meng","year":"2014","unstructured":"Meng, X., Liu, Y., Gao, X., Zhang, H.: A new bio-inspired algorithm: chicken swarm optimization. In: Tan, Y., Shi, Y., Coello, C.A.C. (eds.) ICSI 2014. LNCS, vol. 8794, pp. 86\u201394. Springer, Cham (2014). https:\/\/doi.org\/10.1007\/978-3-319-11857-4_10"},{"key":"52_CR5","doi-asserted-by":"publisher","first-page":"9400","DOI":"10.1109\/ACCESS.2016.2604738","volume":"4","author":"D Wu","year":"2016","unstructured":"Wu, D., Shipeng, X., Kong, F.: Convergence analysis and improvement of the chicken swarm optimization algorithm. IEEE Access 4, 9400\u20139412 (2016)","journal-title":"IEEE Access"},{"issue":"3","key":"52_CR6","doi-asserted-by":"publisher","first-page":"1737","DOI":"10.1007\/s10462-019-09718-3","volume":"53","author":"S Deb","year":"2019","unstructured":"Deb, S., Gao, X.-Z., Tammi, K., Kalita, K., Mahanta, P.: Recent studies on chicken swarm optimization algorithm: a review (2014\u20132018). Artif. Intell. Rev. 53(3), 1737\u20131765 (2019). https:\/\/doi.org\/10.1007\/s10462-019-09718-3","journal-title":"Artif. Intell. Rev."},{"key":"52_CR7","unstructured":"Ahmed Ibrahem, H., et al.: An innovative approach for feature selection based on chicken swarm optimization. In: 2015 7th International Conference of Soft Computing and Pattern Recognition (SoCPaR), pp. 19\u201324. IEEE (2015)"},{"key":"52_CR8","unstructured":"Cui, D.: Projection pursuit model for evaluation of flood and drought disasters based on chicken swarm optimization algorithm. Adv. Sci. Technol. Water Resour. 36(02), 16\u201323+41 (2016)"},{"key":"52_CR9","doi-asserted-by":"publisher","first-page":"60676","DOI":"10.1109\/ACCESS.2020.2983483","volume":"8","author":"W Osamy","year":"2020","unstructured":"Osamy, W., El-Sawy, A.A., Salim, A.: CSOCA: chicken swarm optimization based clustering algorithm for wireless sensor networks. IEEE Access 8, 60676\u201360688 (2020)","journal-title":"IEEE Access"},{"key":"52_CR10","doi-asserted-by":"crossref","unstructured":"Wu, D., et al.: Improved chicken swarm optimization. In: 2015 IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems (CYBER), pp. 681\u2013686. IEEE (2015)","DOI":"10.1109\/CYBER.2015.7288023"},{"key":"52_CR11","unstructured":"Wang, J., Zhang, F., Liu, H., et al.: A novel interruptible load scheduling model based on the improved chicken swarm optimization algorithm. CSEE J. Power Energy Syst. 7(2), 232\u2013240 (2020)"},{"issue":"4","key":"52_CR12","first-page":"1339","volume":"49","author":"LI Bin","year":"2019","unstructured":"Bin, L.I., Shen, G.J., Sun, G., et al.: Improved chicken swarm optimization algorithm. J. Jilin Univ. (Eng. Technol. Ed.) 49(4), 1339\u20131344 (2019)","journal-title":"J. Jilin Univ. (Eng. Technol. Ed.)"},{"key":"52_CR13","doi-asserted-by":"crossref","unstructured":"Bharanidharan, N., Rajaguru, H.: Improved chicken swarm optimization to classify dementia MRI images using a novel controlled randomness optimization algorithm. Int. J. Imaging Syst. Technol. 30(3), 605\u2013620 (2020)","DOI":"10.1002\/ima.22402"},{"key":"52_CR14","doi-asserted-by":"crossref","unstructured":"Tan, Y., Zhu, Y.: Fireworks algorithm for optimization. In: International Conference in Swarm Intelligence, vol. 6415, pp. 355-364. Springer, Heidelberg (2010)","DOI":"10.1007\/978-3-642-13495-1_44"},{"key":"52_CR15","unstructured":"Tong, B., et al.: Improved chicken swarm optimization based on information sharing. J. Guizhou Univ. (Nat. Sci.) 38(01), 58\u201364+70 (2021)"},{"key":"52_CR16","doi-asserted-by":"crossref","unstructured":"Fan, Y., et al.: A self-adaption butterfly optimization algorithm for numerical optimization problems. IEEE Access 8, 88026\u201388041 (2020)","DOI":"10.1109\/ACCESS.2020.2993148"}],"container-title":["Lecture Notes in Computer Science","Intelligent Computing Theories and Application"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-84522-3_52","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,9,6]],"date-time":"2024-09-06T01:59:24Z","timestamp":1725587964000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-84522-3_52"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"ISBN":["9783030845216","9783030845223"],"references-count":16,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-84522-3_52","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2021]]},"assertion":[{"value":"9 August 2021","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":"Shenzhen","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":"2021","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"12 August 2021","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"15 August 2021","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":"icic2021a","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.ic-icc.cn\/2021\/index.htm","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}