{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,3]],"date-time":"2025-12-03T17:54:51Z","timestamp":1764784491578,"version":"3.40.3"},"publisher-location":"Cham","reference-count":18,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030581114"},{"type":"electronic","value":"9783030581121"}],"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\/978-3-030-58112-1_45","type":"book-chapter","created":{"date-parts":[[2020,9,2]],"date-time":"2020-09-02T16:04:30Z","timestamp":1599062670000},"page":"650-663","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["A SHADE-Based Algorithm for Large Scale Global Optimization"],"prefix":"10.1007","author":[{"given":"Oscar","family":"Pacheco-Del-Moral","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8435-680X","authenticated-orcid":false,"given":"Carlos A.","family":"Coello Coello","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2020,8,31]]},"reference":[{"issue":"1","key":"45_CR1","doi-asserted-by":"publisher","first-page":"4","DOI":"10.1109\/TEVC.2010.2059031","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(1), 4\u201331 (2011)","journal-title":"IEEE Trans. Evol. Comput."},{"issue":"1","key":"45_CR2","doi-asserted-by":"publisher","first-page":"25","DOI":"10.1007\/s40747-018-0086-8","volume":"5","author":"AA Hadi","year":"2018","unstructured":"Hadi, A.A., Mohamed, A.W., Jambi, K.M.: LSHADE-SPA memetic framework for solving large-scale optimization problems. Complex Intell. Syst. 5(1), 25\u201340 (2018). \nhttps:\/\/doi.org\/10.1007\/s40747-018-0086-8","journal-title":"Complex Intell. Syst."},{"key":"45_CR3","doi-asserted-by":"crossref","unstructured":"Hiba, H., El-Abd, M., Rahnamayan, S.: Improving SHADE with center-based mutation for large-scale optimization. In: 2019 IEEE Congress on Evolutionary Computation (CEC 2019), Wellington, New Zealand, 10\u201313 June 2019, pp. 1533\u20131540. IEEE (2019)","DOI":"10.1109\/CEC.2019.8790363"},{"issue":"3","key":"45_CR4","doi-asserted-by":"publisher","first-page":"729","DOI":"10.1007\/s13042-019-01030-4","volume":"11","author":"J-R Jian","year":"2019","unstructured":"Jian, J.-R., Zhan, Z.-H., Zhang, J.: Large-scale evolutionary optimization: a survey and experimental comparative study. Int. J. Mach. Learn. Cybern. 11(3), 729\u2013745 (2019). \nhttps:\/\/doi.org\/10.1007\/s13042-019-01030-4","journal-title":"Int. J. Mach. Learn. Cybern."},{"key":"45_CR5","doi-asserted-by":"crossref","unstructured":"LaTorre, A., Muelas, S., Pe\u00f1a, J.M.: Large scale global optimization: experimental results with MOS-based hybrid algorithms. In: 2013 IEEE Congress on Evolutionary Computation (CEC 2013), Canc\u00fan, M\u00e9xico, 20\u201323 June 2013, pp. 2742\u20132749. IEEE (2013)","DOI":"10.1109\/CEC.2013.6557901"},{"key":"45_CR6","unstructured":"Li, X., Tang, K., Omidvar, M.N., Yang, Z., Qin, K.: Benchmark Functions for the CEC\u20192013 Special Session and Competition on Large-Scale Global Optimization (2013)"},{"key":"45_CR7","unstructured":"Molina, D., LaTorre, A.: Toolkit for the automatic comparison of optimizers: comparing large-scale global optimizers made easy. In: 2018 IEEE Congress on Evolutionary Computation (CEC 2018), Rio de Janeiro, Brazil, 8\u201313 July 2018 (2018). ISBN 978-1-5090-6018-4"},{"key":"45_CR8","unstructured":"Molina, D., LaTorre, A.: Toolkit for the automatic comparison of optimizers (TACO): Herramienta online avanzada para comparar metaheur\u00edsticas. In: XIII Congreso Espa\u00f1ol en Metaheur\u00edsticas y Algoritmos Evolutivos y Bioinspirados, pp. 727\u2013732 (2018)"},{"key":"45_CR9","unstructured":"Molina, D., LaTorre, A.: WCCI 2018 Large-Scale Global Optimization Competition Results (2018). \nhttp:\/\/www.tflsgo.org\/download\/comp2018_slides.pdf\n\n. Accessed 29 Feb 2020"},{"key":"45_CR10","unstructured":"Molina, D., LaTorre, A.: CEC 2019 Large-Scale Global Optimization Competition Results (2019). \nhttp:\/\/www.tflsgo.org\/assets\/cec2019\/comp2019_slides.pdf\n\n. Accessed 29 Feb 2020"},{"key":"45_CR11","doi-asserted-by":"crossref","unstructured":"Molina, D., LaTorre, A., Herrera, F.: Shade with iterative local search for large-scale global optimization. In: 2018 IEEE Congress on Evolutionary Computation (CEC 2018), Rio de Janeiro, Brazil, 8\u201313 July 2018. IEEE (2018)","DOI":"10.1109\/CEC.2018.8477755"},{"issue":"3","key":"45_CR12","doi-asserted-by":"publisher","first-page":"378","DOI":"10.1109\/TEVC.2013.2281543","volume":"18","author":"MN Omidvar","year":"2013","unstructured":"Omidvar, M.N., Li, X., Mei, Y., Yao, X.: Cooperative co-evolution with differential grouping for large scale optimization. IEEE Trans. Evol. Comput. 18(3), 378\u2013393 (2013)","journal-title":"IEEE Trans. Evol. Comput."},{"key":"45_CR13","unstructured":"Omidvar, M.N., Sun, Y., La Torre, A., Molina, D.: Special Session and Competition on Large-Scale Global Optimization on WCCI 2020 (2020). \nhttp:\/\/www.tflsgo.org\/special_sessions\/wcci2020.html\n\n. Accessed 22 Feb 2020"},{"issue":"4","key":"45_CR14","doi-asserted-by":"publisher","first-page":"341","DOI":"10.1023\/A:1008202821328","volume":"11","author":"R Storn","year":"1997","unstructured":"Storn, R., Price, K.: Differential evolution - a simple and efficient heuristic for global optimization over continuous spaces. J. Glob. Optim. 11(4), 341\u2013359 (1997)","journal-title":"J. Glob. Optim."},{"key":"45_CR15","doi-asserted-by":"crossref","unstructured":"Tanabe, R., Fukunaga, A.: Success-history based parameter adaptation for Differential Evolution. In: 2013 IEEE Congress on Evolutionary Computation (CEC 2013), Canc\u00fan, M\u00e9xico, 20\u201323 June 2013, pp. 71\u201378. IEEE (2013)","DOI":"10.1109\/CEC.2013.6557555"},{"key":"45_CR16","unstructured":"Tseng, L.Y., Chen, C.: Multiple trajectory search for large scale global optimization. In: 2008 IEEE Congress on Evolutionary Computation (CEC 2008), pp. 3052\u20133059, Hong Kong, 1\u20136 June 2008. IEEE (2008)"},{"key":"45_CR17","doi-asserted-by":"publisher","first-page":"103354","DOI":"10.1109\/ACCESS.2019.2931824","volume":"7","author":"X Wu","year":"2019","unstructured":"Wu, X., Wang, Y., Liu, J., Fan, N.: A new hybrid algorithm for solving large scale global optimization problems. IEEE Access 7, 103354\u2013103364 (2019)","journal-title":"IEEE Access"},{"key":"45_CR18","doi-asserted-by":"crossref","unstructured":"Xiang, W.L., Meng, X.L., An, M.Q., Li, Y.Z., Gao, M.X.: An enhanced differential evolution algorithm based on multiple mutation strategies. Comput. Intell. Neurosci. 2015 (2015). Article ID 285730","DOI":"10.1155\/2015\/285730"}],"container-title":["Lecture Notes in Computer Science","Parallel Problem Solving from Nature \u2013 PPSN XVI"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-58112-1_45","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,9,2]],"date-time":"2020-09-02T16:19:57Z","timestamp":1599063597000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-58112-1_45"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9783030581114","9783030581121"],"references-count":18,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-58112-1_45","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":"31 August 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"PPSN","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Parallel Problem Solving from Nature","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Leiden","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"The Netherlands","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":"5 September 2020","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"9 September 2020","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":"ppsn2020","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/ppsn2020.liacs.leidenuniv.nl\/","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":"268","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":"99","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":"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 (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":"2.2","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":"No","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}