{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,22]],"date-time":"2026-08-22T22:21:39Z","timestamp":1787437299300,"version":"build-2736575974"},"publisher-location":"Cham","reference-count":26,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783032362223","type":"print"},{"value":"9783032362230","type":"electronic"}],"license":[{"start":{"date-parts":[[2026,8,23]],"date-time":"2026-08-23T00:00:00Z","timestamp":1787443200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2026,8,23]],"date-time":"2026-08-23T00:00:00Z","timestamp":1787443200000},"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":[[2027]]},"DOI":"10.1007\/978-3-032-36223-0_18","type":"book-chapter","created":{"date-parts":[[2026,8,22]],"date-time":"2026-08-22T21:45:03Z","timestamp":1787435103000},"page":"284-298","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Operator-Host Compatibility: When Does IVF Help SPEA2, NSGA-II, or\u00a0NSGA-III?"],"prefix":"10.1007","author":[{"given":"Pedro Sanches","family":"Zambrano","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Eduardo Faria","family":"de Souza","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Altino","family":"Dantas","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Celso G.","family":"Camilo-Junior","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2026,8,23]]},"reference":[{"issue":"1","key":"18_CR1","doi-asserted-by":"publisher","first-page":"289","DOI":"10.1111\/j.2517-6161.1995.tb02031.x","volume":"57","author":"Y Benjamini","year":"1995","unstructured":"Benjamini, Y., Hochberg, Y.: Controlling the false discovery rate: A practical and powerful approach to multiple testing. J. Roy. Stat. Soc. B 57(1), 289\u2013300 (1995)","journal-title":"J. Roy. Stat. Soc. B"},{"issue":"3","key":"18_CR2","doi-asserted-by":"publisher","first-page":"403","DOI":"10.1109\/TEVC.2015.2474158","volume":"20","author":"LCT Bezerra","year":"2016","unstructured":"Bezerra, L.C.T., L\u00f3pez-Ib\u00e1\u00f1ez, M., St\u00fctzle, T.: Automatic component-wise design of multiobjective evolutionary algorithms. IEEE Trans. Evol. Comput. 20(3), 403\u2013417 (2016)","journal-title":"IEEE Trans. Evol. Comput."},{"issue":"6","key":"18_CR3","doi-asserted-by":"publisher","first-page":"4135","DOI":"10.1016\/j.asoc.2011.02.032","volume":"11","author":"C Blum","year":"2011","unstructured":"Blum, C., Puchinger, J., Raidl, G.R., Roli, A.: Hybrid metaheuristics in combinatorial optimization: A survey. Appl. Soft Comput. 11(6), 4135\u20134151 (2011). https:\/\/doi.org\/10.1016\/j.asoc.2011.02.032","journal-title":"Appl. Soft Comput."},{"key":"18_CR4","unstructured":"Camilo-Junior, C.G., Yamanaka, K.: A hybrid evolutionary algorithm inspired on IVF for multi-objective optimization. In: Proceedings of the 2011 IEEE Congress on Evolutionary Computation (2011)"},{"issue":"1","key":"18_CR5","doi-asserted-by":"publisher","first-page":"67","DOI":"10.1007\/s40747-017-0039-7","volume":"3","author":"R Cheng","year":"2017","unstructured":"Cheng, R., Li, M., Tian, Y., Zhang, X., Yang, S., Jin, Y., Yao, X.: A benchmark test suite for evolutionary many-objective optimization. Complex Intell. Syst. 3(1), 67\u201381 (2017). https:\/\/doi.org\/10.1007\/s40747-017-0039-7","journal-title":"Complex Intell. Syst."},{"key":"18_CR6","first-page":"115","volume":"9","author":"K Deb","year":"1995","unstructured":"Deb, K., Agrawal, R.B.: Simulated binary crossover for continuous search space. Complex Syst. 9, 115\u2013148 (1995)","journal-title":"Complex Syst."},{"issue":"4","key":"18_CR7","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":"18_CR8","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":"18_CR9","doi-asserted-by":"publisher","unstructured":"Deb, K., Thiele, L., Laumanns, M., Zitzler, E.: Scalable test problems for evolutionary multiobjective optimization. In: Evolutionary Multiobjective Optimization, pp. 105\u2013145. Springer, Cham (2005). https:\/\/doi.org\/10.1007\/1-84628-137-7_6","DOI":"10.1007\/1-84628-137-7_6"},{"issue":"5","key":"18_CR10","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."},{"key":"18_CR11","doi-asserted-by":"publisher","unstructured":"Knowles, J.D., Corne, D.W.: M-PAES: A memetic algorithm for multiobjective optimization. In: Proceedings of the 2000 Congress on Evolutionary Computation. vol.\u00a01, pp. 325\u2013332 (2000). https:\/\/doi.org\/10.1109\/CEC.2000.870313","DOI":"10.1109\/CEC.2000.870313"},{"issue":"2","key":"18_CR12","doi-asserted-by":"publisher","first-page":"28","DOI":"10.1007\/s12293-025-00458-2","volume":"17","author":"Y Lu","year":"2025","unstructured":"Lu, Y., Wang, S., Chen, Y., Zhang, H., Zhang, Y.: Ensemble mating strategy in evolutionary algorithms for multiobjective optimization. Memetic Comput. 17(2), 28 (2025). https:\/\/doi.org\/10.1007\/s12293-025-00458-2","journal-title":"Memetic Comput."},{"key":"18_CR13","unstructured":"Sampaio, R.L., Camilo-Junior, C.G.: An IVF-inspired operator for multi-objective evolutionary algorithms. In: 2017 Latin American Conference on Computational Intelligence, LA-CCI (2017)"},{"key":"18_CR14","unstructured":"Sampaio, R.L., Camilo-Junior, C.G.: Extending the IVF heuristic to many-objective optimization. IEEE Latin Am. Conf. Comput. Intell. (LA-CCI) (2019)"},{"key":"18_CR15","unstructured":"Sampaio, R.L., Dantas, D.O., Camilo-Junior, C.G.: IVF\/NSGA-III: An IVF-inspired intensification operator for NSGA-III. In: IEEE Congress on Evolutionary Computation (CEC) (2023)"},{"issue":"4","key":"18_CR16","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\u2013a simple and efficient heuristic for global optimization over continuous spaces. J. Global Optim. 11(4), 341\u2013359 (1997). https:\/\/doi.org\/10.1023\/A:1008202821328","journal-title":"J. Global Optim."},{"key":"18_CR17","doi-asserted-by":"publisher","unstructured":"Tackett, W.A., Carmi, A.: The unique implications of brood selection for genetic programming. In: Proceedings of the First IEEE Conference on Evolutionary Computation (IEEE World Congress on Computational Intelligence) (1994). https:\/\/doi.org\/10.1109\/ICEC.1994.350023","DOI":"10.1109\/ICEC.1994.350023"},{"issue":"5","key":"18_CR18","doi-asserted-by":"publisher","first-page":"541","DOI":"10.1023\/A:1016540724870","volume":"8","author":"EG Talbi","year":"2002","unstructured":"Talbi, E.G.: A taxonomy of hybrid metaheuristics. J. Heuristics 8(5), 541\u2013564 (2002). https:\/\/doi.org\/10.1023\/A:1016540724870","journal-title":"J. Heuristics"},{"issue":"4","key":"18_CR19","doi-asserted-by":"publisher","first-page":"73","DOI":"10.1109\/MCI.2017.2742868","volume":"12","author":"Y Tian","year":"2017","unstructured":"Tian, Y., Cheng, R., Zhang, X., Jin, Y.: PlatEMO: A MATLAB platform for evolutionary multi-objective optimization. IEEE Comput. Intell. Mag. 12(4), 73\u201387 (2017)","journal-title":"IEEE Comput. Intell. Mag."},{"issue":"2","key":"18_CR20","first-page":"101","volume":"25","author":"A Vargha","year":"2000","unstructured":"Vargha, A., Delaney, H.D.: A critique and improvement of the CL common language effect size statistics of McGraw and Wong. J. Educ. Behav. Stat. 25(2), 101\u2013132 (2000)","journal-title":"J. Educ. Behav. Stat."},{"issue":"6","key":"18_CR21","doi-asserted-by":"publisher","first-page":"80","DOI":"10.2307\/3001968","volume":"1","author":"F Wilcoxon","year":"1945","unstructured":"Wilcoxon, F.: Individual comparisons by ranking methods. Biometrics Bull. 1(6), 80\u201383 (1945)","journal-title":"Biometrics Bull."},{"key":"18_CR22","doi-asserted-by":"publisher","unstructured":"Zambrano, P.H.S.P., de\u00a0Souza, E.F., Dantas, A., Menezes, S., Camilo-Junior, C.G.: A budget-controlled in vitro fertilization memetic hybrid for SPEA2 on bi- and tri-objective problems (2026). https:\/\/doi.org\/10.21203\/rs.3.rs-9431034\/v1, research Square preprint, under review","DOI":"10.21203\/rs.3.rs-9431034\/v1"},{"issue":"2","key":"18_CR23","doi-asserted-by":"publisher","first-page":"173","DOI":"10.1162\/106365600568202","volume":"8","author":"E Zitzler","year":"2000","unstructured":"Zitzler, E., Deb, K., Thiele, L.: Comparison of multiobjective evolutionary algorithms: Empirical results. Evol. Comput. 8(2), 173\u2013195 (2000)","journal-title":"Evol. Comput."},{"key":"18_CR24","unstructured":"Zitzler, E., Laumanns, M., Thiele, L.: SPEA2: Improving the strength pareto evolutionary algorithm, 103 Technical Report. Computer Engineering and Networks Laboratory (TIK), ETH Zurich (2001)"},{"issue":"4","key":"18_CR25","doi-asserted-by":"publisher","first-page":"257","DOI":"10.1109\/4235.797969","volume":"3","author":"E Zitzler","year":"1999","unstructured":"Zitzler, E., Thiele, L.: Multiobjective evolutionary algorithms: A comparative case study and the strength pareto approach. IEEE Trans. Evol. Comput. 3(4), 257\u2013271 (1999)","journal-title":"IEEE Trans. Evol. Comput."},{"issue":"2","key":"18_CR26","doi-asserted-by":"publisher","first-page":"117","DOI":"10.1109\/TEVC.2003.810758","volume":"7","author":"E Zitzler","year":"2003","unstructured":"Zitzler, E., Thiele, L., Laumanns, M., Fonseca, C.M., da Fonseca, V.G.: Performance assessment of multiobjective optimizers: An analysis and review. IEEE Trans. Evol. Comput. 7(2), 117\u2013132 (2003)","journal-title":"IEEE Trans. Evol. Comput."}],"container-title":["Lecture Notes in Computer Science","Parallel Problem Solving from Nature \u2013 PPSN XIX"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-032-36223-0_18","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,8,22]],"date-time":"2026-08-22T21:45:04Z","timestamp":1787435104000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-032-36223-0_18"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,8,23]]},"ISBN":["9783032362223","9783032362230"],"references-count":26,"URL":"https:\/\/doi.org\/10.1007\/978-3-032-36223-0_18","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,8,23]]},"assertion":[{"value":"23 August 2026","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":"Trento","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Italy","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2026","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"29 August 2026","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2 September 2026","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"19","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ppsn2026","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}