{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T00:55:27Z","timestamp":1740099327138,"version":"3.37.3"},"publisher-location":"Cham","reference-count":12,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030209117"},{"type":"electronic","value":"9783030209124"}],"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\/978-3-030-20912-4_39","type":"book-chapter","created":{"date-parts":[[2019,5,26]],"date-time":"2019-05-26T19:02:29Z","timestamp":1558897349000},"page":"421-431","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["An Evaluative Study of Adaptive Control of Population Size in Differential Evolution"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2956-1226","authenticated-orcid":false,"given":"Petr","family":"Bujok","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2019,5,24]]},"reference":[{"key":"39_CR1","doi-asserted-by":"crossref","unstructured":"Brest, J., Mau\u010dec, M.S., Bo\u0161kovi\u0107, B.: Single objective real-parameter optimization: algorithm jSO. In: 2017 IEEE Congress on Evolutionary Computation (CEC), pp. 1311\u20131318 (2017)","DOI":"10.1109\/CEC.2017.7969456"},{"issue":"3","key":"39_CR2","doi-asserted-by":"publisher","first-page":"228","DOI":"10.1007\/s10489-007-0091-x","volume":"29","author":"J Brest","year":"2008","unstructured":"Brest, J., Sepesy Mau\u010dec, M.: Population size reduction for the differential evolution algorithm. Appl. Intell. 29(3), 228\u2013247 (2008)","journal-title":"Appl. Intell."},{"key":"39_CR3","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.swevo.2016.01.004","volume":"27","author":"S Das","year":"2016","unstructured":"Das, S., Mullick, S., Suganthan, P.: Recent advances in differential evolution-an updated survey. Swarm Evol. Comput. 27, 1\u201330 (2016)","journal-title":"Swarm Evol. Comput."},{"key":"39_CR4","unstructured":"Das, S., Suganthan, P.N.: Problem definitions and evaluation criteria for CEC 2011 competition on testing evolutionary algorithms on real world optimization problems. Technical report, Jadavpur University, India and Nanyang Technological University, Singapore (2010)"},{"key":"39_CR5","first-page":"27","volume":"15","author":"S Das","year":"2011","unstructured":"Das, S., Suganthan, P.N.: Differential evolution: a survey of the state-of-the-art. IEEE Trans. Evol. Comput. 15, 27\u201354 (2011)","journal-title":"IEEE Trans. Evol. Comput."},{"key":"39_CR6","series-title":"Wiley Series in Probability and Statistics","volume-title":"Nonparametric Statistical Methods","author":"M Hollander","year":"1999","unstructured":"Hollander, M., Wolfe, D.: Nonparametric Statistical Methods. Wiley Series in Probability and Statistics. Wiley, Hoboken (1999)"},{"key":"39_CR7","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.swevo.2016.05.003","volume":"32","author":"AP Piotrowski","year":"2017","unstructured":"Piotrowski, A.P.: Review of differential evolution population size. Swarm Evol. Comput. 32, 1\u201324 (2017)","journal-title":"Swarm Evol. Comput."},{"key":"39_CR8","unstructured":"Pol\u00e1kov\u00e1, R., Bujok, P.: Popular optimisation algorithms with diversity-based adaptive mechanism for population size. In: Advances in Intelligent Systems and Computing (2018, in press)"},{"key":"39_CR9","doi-asserted-by":"crossref","unstructured":"Pol\u00e1kov\u00e1, R., Tvrd\u00edk, J., Bujok, P.: Adaptation of population size according to current population diversity in differential evolution. In: 2017 IEEE Symposium Series on Computational Intelligence (IEEE SSCI), pp. 2627\u20132634 (2017)","DOI":"10.1109\/SSCI.2017.8280914"},{"key":"39_CR10","doi-asserted-by":"publisher","first-page":"341","DOI":"10.1023\/A:1008202821328","volume":"11","author":"R Storn","year":"1997","unstructured":"Storn, R., Price, K.V.: Differential evolution - a simple and efficient heuristic for global optimization over continuous spaces. J. Glob. Optim. 11, 341\u2013359 (1997)","journal-title":"J. Glob. Optim."},{"key":"39_CR11","doi-asserted-by":"crossref","unstructured":"Tanabe, R., Fukunaga, A.S.: Improving the search performance of SHADE using linear population size reduction. In: IEEE Congress on Evolutionary Computation (CEC), pp. 1658\u20131665 (2014)","DOI":"10.1109\/CEC.2014.6900380"},{"issue":"8","key":"39_CR12","doi-asserted-by":"publisher","first-page":"673","DOI":"10.1007\/s00500-005-0537-1","volume":"10","author":"J Teo","year":"2006","unstructured":"Teo, J.: Exploring dynamic self-adaptive populations in differential evolution. Soft Comput. 10(8), 673\u2013686 (2006)","journal-title":"Soft Comput."}],"container-title":["Lecture Notes in Computer Science","Artificial Intelligence and Soft Computing"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-20912-4_39","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,5,26]],"date-time":"2019-05-26T19:17:16Z","timestamp":1558898236000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-20912-4_39"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"ISBN":["9783030209117","9783030209124"],"references-count":12,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-20912-4_39","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 May 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICAISC","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Artificial Intelligence and Soft Computing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Zakopane","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Poland","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":"16 June 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"20 June 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"18","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icaisc2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/icaisc.eu\/About","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}},{"value":"Own online software","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}},{"value":"333","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}},{"value":"122","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}},{"value":"0","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}},{"value":"37% - 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"}},{"value":"4","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}},{"value":"3","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}}]}}