{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,28]],"date-time":"2025-03-28T06:57:56Z","timestamp":1743145076335,"version":"3.40.3"},"publisher-location":"Cham","reference-count":21,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030637095"},{"type":"electronic","value":"9783030637101"}],"license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","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":[[2020]]},"DOI":"10.1007\/978-3-030-63710-1_5","type":"book-chapter","created":{"date-parts":[[2020,11,16]],"date-time":"2020-11-16T00:04:47Z","timestamp":1605485087000},"page":"56-68","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Parameter Evolution Self-Adaptive Strategy and Its Application for Cuckoo Search"],"prefix":"10.1007","author":[{"given":"Yifan","family":"He","sequence":"first","affiliation":[]},{"given":"Claus","family":"Aranha","sequence":"additional","affiliation":[]},{"given":"Tetsuya","family":"Sakurai","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2020,11,16]]},"reference":[{"issue":"4","key":"5_CR1","doi-asserted-by":"publisher","first-page":"597","DOI":"10.1080\/0305215X.2016.1206535","volume":"49","author":"H Abedi Firouzjaee","year":"2017","unstructured":"Abedi Firouzjaee, H., Kordestani, J.K., Meybodi, M.R.: Cuckoo search with composite flight operator for numerical optimization problems and its application in tunnelling. Eng. Optim. 49(4), 597\u2013616 (2017)","journal-title":"Eng. Optim."},{"key":"5_CR2","doi-asserted-by":"publisher","first-page":"284","DOI":"10.1016\/j.swevo.2018.03.008","volume":"43","author":"RD Al-Dabbagh","year":"2018","unstructured":"Al-Dabbagh, R.D., Neri, F., Idris, N., Baba, M.S.: Algorithmic design issues in adaptive differential evolution schemes: review and taxonomy. Swarm Evol. Comput. 43, 284\u2013311 (2018)","journal-title":"Swarm Evol. Comput."},{"issue":"1","key":"5_CR3","doi-asserted-by":"publisher","first-page":"122","DOI":"10.1109\/TSMC.1986.289288","volume":"16","author":"JJ Grefenstette","year":"1986","unstructured":"Grefenstette, J.J.: Optimization of control parameters for genetic algorithms. IEEE Trans. Syst. Man Cybern. 16(1), 122\u2013128 (1986)","journal-title":"IEEE Trans. Syst. Man Cybern."},{"key":"5_CR4","unstructured":"Gutowski, M.: L\u00e9vy flights as an underlying mechanism for global optimization algorithms. preprint arXiv:math-ph\/0106003 (2001)"},{"issue":"2","key":"5_CR5","first-page":"150","volume":"4","author":"M Jamil","year":"2013","unstructured":"Jamil, M., Yang, X.S.: A literature survey of benchmark functions for global optimisation problems. Int. J. Math. Model. Numer. Optim. 4(2), 150\u2013194 (2013)","journal-title":"Int. J. Math. Model. Numer. Optim."},{"issue":"1","key":"5_CR6","doi-asserted-by":"publisher","first-page":"97","DOI":"10.1007\/s10489-017-0963-7","volume":"48","author":"JK Kordestani","year":"2017","unstructured":"Kordestani, J.K., Firouzjaee, H.A., Reza Meybodi, M.: An adaptive bi-flight cuckoo search with variable nests for continuous dynamic optimization problems. Appl. Intell. 48(1), 97\u2013117 (2017). https:\/\/doi.org\/10.1007\/s10489-017-0963-7","journal-title":"Appl. Intell."},{"issue":"1","key":"5_CR7","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1109\/TEVC.2003.816583","volume":"8","author":"CY Lee","year":"2004","unstructured":"Lee, C.Y., Yao, X.: Evolutionary programming using mutations based on the l\u00e9vy probability distribution. IEEE Trans. Evol. Comput. 8(1), 1\u201313 (2004)","journal-title":"IEEE Trans. Evol. Comput."},{"key":"5_CR8","doi-asserted-by":"publisher","first-page":"80","DOI":"10.1016\/j.ins.2014.11.042","volume":"298","author":"X Li","year":"2015","unstructured":"Li, X., Yin, M.: Modified cuckoo search algorithm with self adaptive parameter method. Inf. Sci. 298, 80\u201397 (2015)","journal-title":"Inf. Sci."},{"key":"5_CR9","doi-asserted-by":"crossref","unstructured":"Luke, S., Talukder, A.K.A.: Is the meta-EA a viable optimization method? In: Proceedings of the 15th Annual Conference on Genetic and Evolutionary Computation, pp. 1533\u20131540 (2013)","DOI":"10.1145\/2463372.2465806"},{"issue":"22","key":"5_CR10","doi-asserted-by":"publisher","first-page":"2946","DOI":"10.1103\/PhysRevLett.73.2946","volume":"73","author":"RN Mantegna","year":"1994","unstructured":"Mantegna, R.N., Stanley, H.E.: Stochastic process with ultraslow convergence to a gaussian: the truncated l\u00e9vy flight. Phys. Rev. Lett. 73(22), 2946 (1994)","journal-title":"Phys. Rev. Lett."},{"key":"5_CR11","doi-asserted-by":"publisher","first-page":"47","DOI":"10.1016\/j.swevo.2016.03.001","volume":"29","author":"U Mlakar","year":"2016","unstructured":"Mlakar, U., Fister Jr., I., Fister, I.: Hybrid self-adaptive cuckoo search for global optimization. Swarm Evol. Comput. 29, 47\u201372 (2016)","journal-title":"Swarm Evol. Comput."},{"key":"5_CR12","doi-asserted-by":"publisher","first-page":"943403","DOI":"10.1155\/2014\/943403","volume":"2014","author":"P Ong","year":"2014","unstructured":"Ong, P.: Adaptive cuckoo search algorithm for unconstrained optimization. Sci. World J. 2014, 943403 (2014)","journal-title":"Sci. World J."},{"key":"5_CR13","doi-asserted-by":"crossref","unstructured":"Posik, P.: Real-parameter optimization using the mutation step . In: Co-Evolution2005 IEEE Congress on Evolutionary Computation, vol. 1, pp. 872\u2013879. IEEE (2005)","DOI":"10.1109\/CEC.2005.1554775"},{"key":"5_CR14","doi-asserted-by":"crossref","unstructured":"Tanabe, R., Fukunaga, A.: Success-history based parameter adaptation for differential evolution. In: 2013 IEEE Congress on Evolutionary Computation, pp. 71\u201378. IEEE (2013)","DOI":"10.1109\/CEC.2013.6557555"},{"issue":"1","key":"5_CR15","doi-asserted-by":"publisher","first-page":"459","DOI":"10.1016\/j.cie.2012.07.011","volume":"64","author":"E Valian","year":"2013","unstructured":"Valian, E., Tavakoli, S., Mohanna, S., Haghi, A.: Improved cuckoo search for reliability optimization problems. Comput. Ind. Eng. 64(1), 459\u2013468 (2013)","journal-title":"Comput. Ind. Eng."},{"issue":"9","key":"5_CR16","doi-asserted-by":"publisher","first-page":"710","DOI":"10.1016\/j.chaos.2011.06.004","volume":"44","author":"S Walton","year":"2011","unstructured":"Walton, S., Hassan, O., Morgan, K., Brown, M.: Modified cuckoo search: a new gradient free optimisation algorithm. Chaos, Solitons Fract. 44(9), 710\u2013718 (2011)","journal-title":"Chaos, Solitons Fract."},{"issue":"6","key":"5_CR17","doi-asserted-by":"publisher","first-page":"1511","DOI":"10.1007\/s00521-015-1949-1","volume":"27","author":"J Wang","year":"2015","unstructured":"Wang, J., Zhou, B.: A hybrid adaptive cuckoo search optimization algorithm for the problem of chaotic systems parameter estimation. Neural Comput. Appl. 27(6), 1511\u20131517 (2015). https:\/\/doi.org\/10.1007\/s00521-015-1949-1","journal-title":"Neural Comput. Appl."},{"key":"5_CR18","doi-asserted-by":"crossref","unstructured":"Yang, X.S., Deb, S.: Cuckoo search via l\u00e9vy flights. In: 2009 World Congress on Nature & Biologically Inspired Computing (NaBIC), pp. 210\u2013214. IEEE (2009)","DOI":"10.1109\/NABIC.2009.5393690"},{"key":"5_CR19","doi-asserted-by":"crossref","unstructured":"Zhan, Z.H., Zhang, J.: Self-adaptive differential evolution based on PSO learning strategy. In: Proceedings of the 12th Annual Conference on Genetic and Evolutionary Computation, pp. 39\u201346 (2010)","DOI":"10.1145\/1830483.1830490"},{"issue":"5","key":"5_CR20","doi-asserted-by":"publisher","first-page":"945","DOI":"10.1109\/TEVC.2009.2014613","volume":"13","author":"J Zhang","year":"2009","unstructured":"Zhang, J., Sanderson, A.C.: JADE: adaptive differential evolution with optional external archive. IEEE Trans. Evol. Comput. 13(5), 945\u2013958 (2009)","journal-title":"IEEE Trans. Evol. Comput."},{"issue":"2","key":"5_CR21","doi-asserted-by":"publisher","first-page":"73","DOI":"10.1504\/IJCAT.2012.048675","volume":"44","author":"Y Zhang","year":"2012","unstructured":"Zhang, Y., Wang, L., Wu, Q.: Modified adaptive cuckoo search (MACS) algorithm and formal description for global optimisation. Int. J. Comput. Appl. Technol. 44(2), 73 (2012)","journal-title":"Int. J. Comput. Appl. Technol."}],"container-title":["Lecture Notes in Computer Science","Bioinspired Optimization Methods and Their Applications"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-63710-1_5","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,8,17]],"date-time":"2024-08-17T12:24:54Z","timestamp":1723897494000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-63710-1_5"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9783030637095","9783030637101"],"references-count":21,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-63710-1_5","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2020]]},"assertion":[{"value":"16 November 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"BIOMA","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Bioinspired Methods and Their Applications","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Brussels","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Belgium","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2020","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"19 November 2020","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"20 November 2020","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"9","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"bioma2020","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/utopiae.eu\/bioma-2020\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"EasyChair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"68","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"24","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"0","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"35% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"4","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Due to the Corona pandemic BIOMA 2020 was held as a virtual event.","order":10,"name":"additional_info_on_review_process","label":"Additional Info on Review Process","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}