{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,4,29]],"date-time":"2025-04-29T04:46:53Z","timestamp":1745902013899,"version":"3.40.3"},"publisher-location":"Cham","reference-count":7,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031629112"},{"type":"electronic","value":"9783031629129"}],"license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"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":[[2024]]},"DOI":"10.1007\/978-3-031-62912-9_6","type":"book-chapter","created":{"date-parts":[[2024,6,16]],"date-time":"2024-06-16T15:01:37Z","timestamp":1718550097000},"page":"45-61","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["SIRO: A Deep Learning-Based Next-Generation Optimizer for Solving Global Optimization Problems"],"prefix":"10.1007","author":[{"given":"Olaide N.","family":"Oyelade","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3721-3400","authenticated-orcid":false,"given":"Absalom E.","family":"Ezugwu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Apu K.","family":"Saha","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2024,6,17]]},"reference":[{"key":"6_CR1","doi-asserted-by":"publisher","first-page":"103411","DOI":"10.1016\/j.advengsoft.2023.103411","volume":"178","author":"A Seyyedabbasi","year":"2023","unstructured":"Seyyedabbasi, A.: A reinforcement learning-based metaheuristic algorithm for solving global optimization problems. Adv. Eng. Softw. 178, 103411 (2023)","journal-title":"Adv. Eng. Softw."},{"issue":"6","key":"6_CR2","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3459664","volume":"54","author":"EG Talbi","year":"2021","unstructured":"Talbi, E.G.: Machine learning into metaheuristics: a survey and taxonomy. ACM Comput. Surv. (CSUR) 54(6), 1\u201332 (2021)","journal-title":"ACM Comput. Surv. (CSUR)"},{"key":"6_CR3","doi-asserted-by":"publisher","first-page":"106040","DOI":"10.1016\/j.cie.2019.106040","volume":"137","author":"T Dokeroglu","year":"2019","unstructured":"Dokeroglu, T., Sevinc, E., Kucukyilmaz, T., Cosar, A.: A survey on new generation metaheuristic algorithms. Comput. Ind. Eng. 137, 106040 (2019)","journal-title":"Comput. Ind. Eng."},{"issue":"4","key":"6_CR4","doi-asserted-by":"publisher","first-page":"2191","DOI":"10.1007\/s10462-017-9605-z","volume":"52","author":"K Hussain","year":"2019","unstructured":"Hussain, K., Mohd Salleh, M.N., Cheng, S., Shi, Y.: Metaheuristic research: a comprehensive survey. Artif. Intell. Rev. 52(4), 2191\u20132233 (2019)","journal-title":"Artif. Intell. Rev."},{"key":"6_CR5","doi-asserted-by":"publisher","first-page":"105082","DOI":"10.1016\/j.engappai.2022.105082","volume":"114","author":"L Wang","year":"2022","unstructured":"Wang, L., Cao, Q., Zhang, Z., Mirjalili, S., Zhao, W.: Artificial rabbits optimization: a new bio-inspired meta-heuristic algorithm for solving engineering optimization problems. Eng. Appl. Artif. Intell. 114, 105082 (2022)","journal-title":"Eng. Appl. Artif. Intell."},{"key":"6_CR6","doi-asserted-by":"publisher","first-page":"105075","DOI":"10.1016\/j.engappai.2022.105075","volume":"114","author":"S Zhao","year":"2022","unstructured":"Zhao, S., Zhang, T., Ma, S., Chen, M.: Dandelion Optimizer: a nature-inspired metaheuristic algorithm for engineering applications. Eng. Appl. Artif. Intell. 114, 105075 (2022)","journal-title":"Eng. Appl. Artif. Intell."},{"issue":"1","key":"6_CR7","doi-asserted-by":"publisher","first-page":"67","DOI":"10.1109\/4235.585893","volume":"1","author":"DH Wolpert","year":"1997","unstructured":"Wolpert, D.H., Macready, W.G.: No free lunch theorems for optimization. IEEE Trans. Evol. Comput. 1(1), 67\u201382 (1997)","journal-title":"IEEE Trans. Evol. Comput."}],"container-title":["Lecture Notes in Computer Science","Metaheuristics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-62912-9_6","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,6,16]],"date-time":"2024-06-16T15:10:26Z","timestamp":1718550626000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-62912-9_6"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"ISBN":["9783031629112","9783031629129"],"references-count":7,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-62912-9_6","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2024]]},"assertion":[{"value":"17 June 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"MIC","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Metaheuristics International Conference","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Lorient","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"France","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":"4 June 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"7 June 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"16","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"metic2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/mic2024.fr\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}