{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,2]],"date-time":"2025-08-02T04:26:38Z","timestamp":1754108798195,"version":"3.37.3"},"publisher-location":"Cham","reference-count":29,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319541563"},{"type":"electronic","value":"9783319541570"}],"license":[{"start":{"date-parts":[[2017,1,1]],"date-time":"2017-01-01T00:00:00Z","timestamp":1483228800000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017]]},"DOI":"10.1007\/978-3-319-54157-0_19","type":"book-chapter","created":{"date-parts":[[2017,2,18]],"date-time":"2017-02-18T03:11:54Z","timestamp":1487387514000},"page":"267-281","source":"Crossref","is-referenced-by-count":6,"title":["Adaptive Operator Selection for Many-Objective Optimization with NSGA-III"],"prefix":"10.1007","author":[{"given":"Richard A.","family":"Gon\u00e7alves","sequence":"first","affiliation":[]},{"given":"Lucas M.","family":"Pavelski","sequence":"additional","affiliation":[]},{"given":"Carolina P.","family":"de Almeida","sequence":"additional","affiliation":[]},{"given":"Josiel N.","family":"Kuk","sequence":"additional","affiliation":[]},{"given":"Sandra M.","family":"Venske","sequence":"additional","affiliation":[]},{"given":"Myriam R.","family":"Delgado","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2017,2,19]]},"reference":[{"issue":"20","key":"19_CR1","doi-asserted-by":"crossref","first-page":"1719","DOI":"10.1002\/jcc.23315","volume":"34","author":"CRS Brasil","year":"2013","unstructured":"Brasil, C.R.S., Delbem, A.C.B., da Silva, F.L.B.: Multiobjective evolutionary algorithm with many tables for purely ab initio protein structure prediction. J. Comput. Chem. 34(20), 1719\u20131734 (2013)","journal-title":"J. Comput. Chem."},{"issue":"2","key":"19_CR2","doi-asserted-by":"crossref","first-page":"163","DOI":"10.1007\/s10710-005-6164-x","volume":"6","author":"CAC Coello","year":"2005","unstructured":"Coello, C.A.C., Cort\u00e9s, N.C.: Solving multiobjective optimization problems using an artificial immune system. Genet. Program. Evolvable Mach. 6(2), 163\u2013190 (2005). http:\/\/dx.doi.org\/10.1007\/s10710-005-6164-x","journal-title":"Genet. Program. Evolvable Mach."},{"key":"19_CR3","volume-title":"Practical Nonparametric Statistics","author":"W Conover","year":"1999","unstructured":"Conover, W.: Practical Nonparametric Statistics, 3rd edn. Wiley, New York (1999)","edition":"3"},{"issue":"2","key":"19_CR4","first-page":"115","volume":"9","author":"K Deb","year":"1995","unstructured":"Deb, K., Agrawal, R.B.: Simulated binary crossover for continuous search space. Complex Systems 9(2), 115\u2013148 (1995)","journal-title":"Complex Systems"},{"key":"19_CR5","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"849","DOI":"10.1007\/3-540-45356-3_83","volume-title":"Parallel Problem Solving from Nature PPSN VI","author":"K Deb","year":"2000","unstructured":"Deb, K., Agrawal, S., Pratap, A., Meyarivan, T.: A fast elitist non-dominated sorting genetic algorithm for multi-objective optimization: NSGA-II. In: Schoenauer, M., Deb, K., Rudolph, G., Yao, X., Lutton, E., Merelo, J.J., Schwefel, H.-P. (eds.) PPSN 2000. LNCS, vol. 1917, pp. 849\u2013858. Springer, Heidelberg (2000). doi: 10.1007\/3-540-45356-3_83"},{"key":"19_CR6","series-title":"Advanced Information and Knowledge Processing","doi-asserted-by":"crossref","first-page":"105","DOI":"10.1007\/1-84628-137-7_6","volume-title":"Evolutionary Multiobjective Optimization","author":"K Deb","year":"2005","unstructured":"Deb, K., Thiele, L., Laumanns, M., Zitzler, E.: Scalable test problems for evolutionary multiobjective optimization. In: Abraham, A., Jain, L., Goldberg, R. (eds.) Evolutionary Multiobjective Optimization. Advanced Information and Knowledge Processing, pp. 105\u2013145. Springer, London (2005)"},{"key":"19_CR7","doi-asserted-by":"crossref","first-page":"760","DOI":"10.1016\/j.advengsoft.2011.05.014","volume":"42","author":"JJ Durillo","year":"2011","unstructured":"Durillo, J.J., Nebro, A.J.: Jmetal: a java framework for multi-objective optimization. Adv. Eng. Softw. 42, 760\u2013771 (2011)","journal-title":"Adv. Eng. Softw."},{"key":"19_CR8","doi-asserted-by":"crossref","unstructured":"Gon\u00e7alves, R., Almeida, C., Pavelski, L., Venske, S., Kuk, J., Pozo, A.: Adaptive Operator Selection in NSGA-III. In: To appear in Proceedings of Brazilian Conference on Intelligent Systems, BRACIS 2016 (2016)","DOI":"10.1109\/BRACIS.2016.042"},{"issue":"24","key":"19_CR9","doi-asserted-by":"crossref","first-page":"5364","DOI":"10.1016\/j.ins.2011.07.049","volume":"181","author":"W Gong","year":"2011","unstructured":"Gong, W., Fialho, \u00c1., Cai, Z., Li, H.: Adaptive strategy selection in differential evolution for numerical optimization: an empirical study. Inf. Sci. 181(24), 5364\u20135386 (2011)","journal-title":"Inf. Sci."},{"key":"19_CR10","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"702","DOI":"10.1007\/978-3-540-87700-4_70","volume-title":"Parallel Problem Solving from Nature \u2013 PPSN X","author":"J Handl","year":"2008","unstructured":"Handl, J., Lovell, S.C., Knowles, J.: Investigations into the effect of multiobjectivization in protein structure prediction. In: Rudolph, G., Jansen, T., Beume, N., Lucas, S., Poloni, C. (eds.) PPSN 2008. LNCS, vol. 5199, pp. 702\u2013711. Springer, Heidelberg (2008). doi: 10.1007\/978-3-540-87700-4_70"},{"issue":"5","key":"19_CR11","doi-asserted-by":"crossref","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":"19_CR12","doi-asserted-by":"crossref","unstructured":"Ishibuchi, H., Tsukamoto, N., Nojima, Y.: Evolutionary many-objective optimization: a short review. In: Proceedings of 2008 IEEE Congress on Evolutionary Computation, pp. 2424\u20132431 (2008)","DOI":"10.1109\/GEFS.2008.4484566"},{"issue":"4","key":"19_CR13","doi-asserted-by":"crossref","first-page":"602","DOI":"10.1109\/TEVC.2013.2281534","volume":"18","author":"H Jain","year":"2014","unstructured":"Jain, H., Deb, K.: An evolutionary many-objective optimization algorithm using reference-point based nondominated sorting approach, part ii: handling constraints and extending to an adaptive approach. IEEE Trans. Evol. Comput. 18(4), 602\u2013622 (2014)","journal-title":"IEEE Trans. Evol. Comput."},{"issue":"5","key":"19_CR14","doi-asserted-by":"crossref","first-page":"694","DOI":"10.1109\/TEVC.2014.2373386","volume":"19","author":"K Li","year":"2015","unstructured":"Li, K., Deb, K., Zhang, Q., Kwong, S.: An evolutionary many-objective optimization algorithm based on dominance and decomposition. IEEE Trans. Evol. Comput. 19(5), 694\u2013716 (2015)","journal-title":"IEEE Trans. Evol. Comput."},{"key":"19_CR15","doi-asserted-by":"crossref","unstructured":"Li, K., Fialho, \u00c1., Kwong, S.: Multi-objective differential evolution with adaptive control of parameters and operators. In: International Conference on Learning and Intelligent Optimization, pp. 473\u2013487 (2011)","DOI":"10.1007\/978-3-642-25566-3_37"},{"issue":"1","key":"19_CR16","doi-asserted-by":"crossref","first-page":"114","DOI":"10.1109\/TEVC.2013.2239648","volume":"18","author":"K Li","year":"2014","unstructured":"Li, K., Fialho, A., Kwong, S., Zhang, Q.: Adaptive operator selection with bandits for a multiobjective evolutionary algorithm based on decomposition. IEEE Trans. Evol. Comput. 18(1), 114\u2013130 (2014)","journal-title":"IEEE Trans. Evol. Comput."},{"key":"19_CR17","doi-asserted-by":"crossref","first-page":"332","DOI":"10.1016\/j.ins.2015.12.022","volume":"339","author":"Q Lin","year":"2016","unstructured":"Lin, Q., Liu, Z., Yan, Q., Du, Z., Coello, C.A.C., Liang, Z., Wang, W., Chen, J.: Adaptive composite operator selection and parameter control for multiobjective evolutionary algorithm. Inf. Sci. 339, 332\u2013352 (2016)","journal-title":"Inf. Sci."},{"issue":"4","key":"19_CR18","doi-asserted-by":"crossref","first-page":"257","DOI":"10.1002\/1097-0282(2000)56:4<257::AID-BIP10029>3.0.CO;2-W","volume":"56","author":"AD MacKerell","year":"2000","unstructured":"MacKerell, A.D., Banavali, N., Foloppe, N.: Development and current status of the charmm force field for nucleic acids. Biopolymers 56(4), 257\u2013265 (2000)","journal-title":"Biopolymers"},{"issue":"3","key":"19_CR19","doi-asserted-by":"crossref","first-page":"17:1","DOI":"10.1145\/2729974","volume":"24","author":"W Mkaouer","year":"2015","unstructured":"Mkaouer, W., Kessentini, M., Shaout, A., Koligheu, P., Bechikh, S., Deb, K., Ouni, A.: Many-objective software remodularization using NSGA-III. ACM Trans. Softw. Eng. Methodo. 24(3), 17:1\u201317:45 (2015)","journal-title":"ACM Trans. Softw. Eng. Methodo."},{"key":"19_CR20","unstructured":"Ponder, J.W.: Tinker: Software tools for molecular design. Washington University School of Medicine, Saint Louis, MO 3 (2004)"},{"key":"19_CR21","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"34","DOI":"10.1007\/978-3-319-15892-1_3","volume-title":"Evolutionary Multi-Criterion Optimization","author":"H Seada","year":"2015","unstructured":"Seada, H., Deb, K.: U-NSGA-III: a unified evolutionary optimization procedure for single, multiple, and many objectives: proof-of-principle results. In: Gaspar-Cunha, A., Henggeler Antunes, C., Coello, C.C. (eds.) EMO 2015. LNCS, vol. 9019, pp. 34\u201349. Springer, Cham (2015). doi: 10.1007\/978-3-319-15892-1_3"},{"issue":"4","key":"19_CR22","doi-asserted-by":"crossref","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. Global Optim. 11(4), 341\u2013359 (1997)","journal-title":"J. Global Optim."},{"key":"19_CR23","doi-asserted-by":"crossref","unstructured":"Thierens, D.: An adaptive pursuit strategy for allocating operator probabilities. In: Conference on Genetic and Evolutionary Computation, pp. 1539\u20131546 (2005)","DOI":"10.1145\/1068009.1068251"},{"key":"19_CR24","volume-title":"Protein Structure Prediction: Concepts and Applications","author":"A Tramontano","year":"2006","unstructured":"Tramontano, A.: Protein Structure Prediction: Concepts and Applications. Wiley, New Year (2006)"},{"key":"19_CR25","doi-asserted-by":"crossref","first-page":"65","DOI":"10.1016\/j.neucom.2013.06.043","volume":"127","author":"SM Venske","year":"2014","unstructured":"Venske, S.M., Gon\u00e7alves, R.A., Delgado, M.R.: ADEMO\/D: multiobjective optimization by an adaptive differential evolution algorithm. Neurocomputing 127, 65\u201377 (2014)","journal-title":"Neurocomputing"},{"key":"19_CR26","doi-asserted-by":"crossref","unstructured":"Yuan, Y., Xu, H., Wang, B.: An improved NSGA-III procedure for evolutionary many-objective optimization. In: Proceedings of the 2014 Annual Conference on Genetic and Evolutionary Computation, pp. 661\u2013668. ACM, New York (2014)","DOI":"10.1145\/2576768.2598342"},{"key":"19_CR27","doi-asserted-by":"crossref","unstructured":"Yuan, Y., Xu, H., Wang, B.: An experimental investigation of variation operators in reference-point based many-objective optimization. In: Proceedings of the 2015 Annual Conference on Genetic and Evolutionary Computation, pp. 775\u2013782. ACM, New York (2015)","DOI":"10.1145\/2739480.2754655"},{"key":"19_CR28","series-title":"Methods in Molecular Biology","volume-title":"Protein Structure Prediction","year":"2008","unstructured":"Zaki, M., Bystroff, C. (eds.): Protein Structure Prediction. Methods in Molecular Biology, vol. 413, 2nd edn. Humana Press\/Springer, Heidelberg (2008)","edition":"2"},{"issue":"3","key":"19_CR29","doi-asserted-by":"crossref","first-page":"442","DOI":"10.1109\/TEVC.2011.2166159","volume":"16","author":"SZ Zhao","year":"2012","unstructured":"Zhao, S.Z., Suganthan, P.N., Zhang, Q.: Decomposition-based multiobjective evolutionary algorithm with an ensemble of neighborhood sizes. IEEE Trans. Evol. Comput. 16(3), 442\u2013446 (2012)","journal-title":"IEEE Trans. Evol. Comput."}],"container-title":["Lecture Notes in Computer Science","Evolutionary Multi-Criterion Optimization"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-54157-0_19","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,9,18]],"date-time":"2019-09-18T17:23:47Z","timestamp":1568827427000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-54157-0_19"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017]]},"ISBN":["9783319541563","9783319541570"],"references-count":29,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-54157-0_19","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2017]]}}}