{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T16:34:08Z","timestamp":1743093248152,"version":"3.40.3"},"publisher-location":"Cham","reference-count":21,"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_14","type":"book-chapter","created":{"date-parts":[[2020,9,2]],"date-time":"2020-09-02T16:04:30Z","timestamp":1599062670000},"page":"201-214","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Proposal of a Realistic Many-Objective Test Suite"],"prefix":"10.1007","author":[{"given":"Weiyu","family":"Chen","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hisao","family":"Ishibuchi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ke","family":"Shang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2020,8,31]]},"reference":[{"issue":"5","key":"14_CR1","doi-asserted-by":"publisher","first-page":"773","DOI":"10.1109\/TEVC.2016.2519378","volume":"20","author":"R Cheng","year":"2016","unstructured":"Cheng, R., Jin, Y., Olhofer, M., Sendhoff, B.: A reference vector guided evolutionary algorithm for many-objective optimization. IEEE Trans. Evol. Comput. 20(5), 773\u2013791 (2016)","journal-title":"IEEE Trans. Evol. Comput."},{"issue":"12","key":"14_CR2","doi-asserted-by":"publisher","first-page":"4108","DOI":"10.1109\/TCYB.2016.2600577","volume":"47","author":"R Cheng","year":"2017","unstructured":"Cheng, R., Jin, Y., Olhofer, M., Sendhoff, B.: Test problems for large-scale multiobjective and many-objective optimization. IEEE Trans. Cybern. 47(12), 4108\u20134121 (2017)","journal-title":"IEEE Trans. Cybern."},{"key":"14_CR3","doi-asserted-by":"crossref","unstructured":"Chikumbo, O., Goodman, E., Deb, K.: Approximating a multi-dimensional Pareto front for a land use management problem: a modified MOEA with an epigenetic silencing metaphor. In: 2012 IEEE Congress on Evolutionary Computation, pp. 1\u20139 (2012)","DOI":"10.1109\/CEC.2012.6256170"},{"issue":"4","key":"14_CR4","doi-asserted-by":"publisher","first-page":"577","DOI":"10.1109\/TEVC.2013.2281535","volume":"18","author":"K Deb","year":"2014","unstructured":"Deb, K., Jain, H.: An evolutionary many-objective optimization algorithm using reference-point-based nondominated sorting approach, part I: Solving problems with box constraints. IEEE Trans. Evol. Comput. 18(4), 577\u2013601 (2014)","journal-title":"IEEE Trans. Evol. Comput."},{"issue":"2","key":"14_CR5","doi-asserted-by":"publisher","first-page":"182","DOI":"10.1109\/4235.996017","volume":"6","author":"K Deb","year":"2002","unstructured":"Deb, K., Pratap, A., Agarwal, S., Meyarivan, T.: A fast and elitist multiobjective genetic algorithm: NSGA-II. IEEE Trans. Evol. Comput. 6(2), 182\u2013197 (2002)","journal-title":"IEEE Trans. Evol. Comput."},{"key":"14_CR6","doi-asserted-by":"crossref","unstructured":"Deb, K., Thiele, L., Laumanns, M., Zitzler, E.: Scalable multi-objective optimization test problems. In: Proceedings of the 2002 Congress on Evolutionary Computation CEC2002 (Cat. No.02TH8600), vol. 1, pp. 825\u2013830 (2002)","DOI":"10.1109\/CEC.2002.1007032"},{"issue":"3","key":"14_CR7","doi-asserted-by":"publisher","first-page":"1062","DOI":"10.1016\/j.ejor.2006.06.042","volume":"185","author":"K Deb","year":"2008","unstructured":"Deb, K., Tiwari, S.: Omni-optimizer: a generic evolutionary algorithm for single and multi-objective optimization. Eur. J. Oper. Res. 185(3), 1062\u20131087 (2008)","journal-title":"Eur. J. Oper. Res."},{"key":"14_CR8","doi-asserted-by":"publisher","unstructured":"Fieldsend, J.E., Chugh, T., Allmendinger, R., Miettinen, K.: A feature rich distance-based many-objective visualisable test problem generator. In: Proceedings of the Genetic and Evolutionary Computation Conference GECCO 2019, pp. 541\u2013549. Association for Computing Machinery, New York (2019). https:\/\/doi.org\/10.1145\/3321707.3321727","DOI":"10.1145\/3321707.3321727"},{"issue":"5","key":"14_CR9","doi-asserted-by":"publisher","first-page":"477","DOI":"10.1109\/TEVC.2005.861417","volume":"10","author":"S Huband","year":"2006","unstructured":"Huband, S., Hingston, P., Barone, L., While, L.: A review of multiobjective test problems and a scalable test problem toolkit. IEEE Trans. Evol. Comput. 10(5), 477\u2013506 (2006)","journal-title":"IEEE Trans. Evol. Comput."},{"issue":"2","key":"14_CR10","doi-asserted-by":"publisher","first-page":"169","DOI":"10.1109\/TEVC.2016.2587749","volume":"21","author":"H Ishibuchi","year":"2017","unstructured":"Ishibuchi, H., Setoguchi, Y., Masuda, H., Nojima, Y.: Performance of decomposition-based many-objective algorithms strongly depends on Pareto front shapes. IEEE Trans. Evol. Comput. 21(2), 169\u2013190 (2017)","journal-title":"IEEE Trans. Evol. Comput."},{"key":"14_CR11","doi-asserted-by":"publisher","first-page":"561","DOI":"10.1007\/s00158-007-0163-x10.1007\/s00158-007-0163-x","volume":"35","author":"X Liao","year":"2008","unstructured":"Liao, X., Li, Q., Yang, X., Zhang, W., Li, W.: Multiobjective optimization for crash safety design of vehicles using stepwise regression model. Struct. Multi. Optim. 35, 561\u2013569 (2008). https:\/\/doi.org\/10.1007\/s00158-007-0163-x10.1007\/s00158-007-0163-x","journal-title":"Struct. Multi. Optim."},{"key":"14_CR12","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"641","DOI":"10.1007\/978-3-642-37140-0_48","volume-title":"Evolutionary Multi-Criterion Optimization","author":"RJ Lygoe","year":"2013","unstructured":"Lygoe, R.J., Cary, M., Fleming, P.J.: A real-world application of a many-objective optimisation complexity reduction process. In: Purshouse, R.C., Fleming, P.J., Fonseca, C.M., Greco, S., Shaw, J. (eds.) EMO 2013. LNCS, vol. 7811, pp. 641\u2013655. Springer, Heidelberg (2013). https:\/\/doi.org\/10.1007\/978-3-642-37140-0_48"},{"key":"14_CR13","doi-asserted-by":"crossref","unstructured":"Narukawa, K., Rodemann, T.: Examining the performance of evolutionary many-objective optimization algorithms on a real-world application. In: 2012 Sixth International Conference on Genetic and Evolutionary Computing, pp. 316\u2013319 (2012)","DOI":"10.1109\/ICGEC.2012.90"},{"issue":"2","key":"14_CR14","doi-asserted-by":"publisher","first-page":"173","DOI":"10.1109\/TEVC.2018.2791283","volume":"23","author":"Y Sun","year":"2019","unstructured":"Sun, Y., Yen, G.G., Yi, Z.: IGD indicator-based evolutionary algorithm for many-objective optimization problems. IEEE Trans. Evol. Comput. 23(2), 173\u2013187 (2019)","journal-title":"IEEE Trans. Evol. Comput."},{"key":"14_CR15","doi-asserted-by":"publisher","first-page":"106078","DOI":"10.1016\/j.asoc.2020.106078","volume":"89","author":"R Tanabe","year":"2020","unstructured":"Tanabe, R., Ishibuchi, H.: An easy-to-use real-world multi-objective optimization problem suite. Appl. Soft Comput. 89, 106078 (2020)","journal-title":"Appl. Soft Comput."},{"issue":"4","key":"14_CR16","doi-asserted-by":"publisher","first-page":"705","DOI":"10.2514\/1.11464","volume":"20","author":"R Vaidyanathan","year":"2004","unstructured":"Vaidyanathan, R., Tucker, P.K., Papila, N., Shyy, W.: Computational-fluid-dynamics-based design optimization for single-element rocket injector. J. Propul. Power 20(4), 705\u2013717 (2004)","journal-title":"J. Propul. Power"},{"key":"14_CR17","doi-asserted-by":"crossref","unstructured":"Van Veldhuizen, D.A.: Multiobjective evolutionary algorithms: classifications, analyses, and new innovations. Ph.D. thesis, USA (1999)","DOI":"10.1145\/298151.298382"},{"issue":"2","key":"14_CR18","doi-asserted-by":"publisher","first-page":"217","DOI":"10.1109\/TEVC.2018.2844286","volume":"23","author":"Z Wang","year":"2019","unstructured":"Wang, Z., Ong, Y., Ishibuchi, H.: On scalable multiobjective test problems with hardly dominated boundaries. IEEE Trans. Evol. Comput. 23(2), 217\u2013231 (2019)","journal-title":"IEEE Trans. Evol. Comput."},{"issue":"6","key":"14_CR19","doi-asserted-by":"publisher","first-page":"712","DOI":"10.1109\/TEVC.2007.892759","volume":"11","author":"Q Zhang","year":"2007","unstructured":"Zhang, Q., Li, H.: MOEA\/D: a multiobjective evolutionary algorithm based on decomposition. IEEE Trans. Evol. Comput. 11(6), 712\u2013731 (2007)","journal-title":"IEEE Trans. Evol. Comput."},{"issue":"1","key":"14_CR20","doi-asserted-by":"publisher","first-page":"41","DOI":"10.1109\/TEVC.2007.894202","volume":"12","author":"Q Zhang","year":"2008","unstructured":"Zhang, Q., Zhou, A., Jin, Y.: RM-MEDA: a regularity model-based multiobjective estimation of distribution algorithm. IEEE Trans. Evol. Comput. 12(1), 41\u201363 (2008)","journal-title":"IEEE Trans. Evol. Comput."},{"key":"14_CR21","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"832","DOI":"10.1007\/978-3-540-30217-9_84","volume-title":"Parallel Problem Solving from Nature - PPSN VIII","author":"E Zitzler","year":"2004","unstructured":"Zitzler, E., K\u00fcnzli, S.: Indicator-based selection in multiobjective search. In: Yao, X., Burke, E.K., Lozano, J.A., Smith, J., Merelo-Guerv\u00f3s, J.J., Bullinaria, J.A., Rowe, J.E., Ti\u0148o, P., Kab\u00e1n, A., Schwefel, H.-P. (eds.) PPSN 2004. LNCS, vol. 3242, pp. 832\u2013842. Springer, Heidelberg (2004). https:\/\/doi.org\/10.1007\/978-3-540-30217-9_84"}],"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_14","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,8,13]],"date-time":"2024-08-13T02:31:52Z","timestamp":1723516312000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-58112-1_14"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9783030581114","9783030581121"],"references-count":21,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-58112-1_14","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)"}}]}}