{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,5,21]],"date-time":"2025-05-21T04:38:07Z","timestamp":1747802287184,"version":"3.41.0"},"publisher-location":"Cham","reference-count":20,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319165486"},{"type":"electronic","value":"9783319165493"}],"license":[{"start":{"date-parts":[[2015,1,1]],"date-time":"2015-01-01T00:00:00Z","timestamp":1420070400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2015,1,1]],"date-time":"2015-01-01T00:00:00Z","timestamp":1420070400000},"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":[[2015]]},"DOI":"10.1007\/978-3-319-16549-3_46","type":"book-chapter","created":{"date-parts":[[2015,3,16]],"date-time":"2015-03-16T05:30:34Z","timestamp":1426483834000},"page":"567-578","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Analysis of Diversity Methods for Evolutionary Multi-objective Ensemble Classifiers"],"prefix":"10.1007","author":[{"given":"Stefan","family":"Oehmcke","sequence":"first","affiliation":[]},{"given":"Justin","family":"Heinermann","sequence":"additional","affiliation":[]},{"given":"Oliver","family":"Kramer","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2015,3,17]]},"reference":[{"key":"46_CR1","first-page":"123","volume":"24","author":"L Breiman","year":"1996","unstructured":"Breiman, L.: Bagging predictors. Mach. Learn. 24, 123\u2013140 (1996)","journal-title":"Mach. Learn."},{"key":"46_CR2","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"23","DOI":"10.1007\/3-540-59119-2_166","volume-title":"Computational Learning Theory","author":"Y Freund","year":"1995","unstructured":"Freund, Y., Schapire, R.E.: A decision-theoretic generalization of on-line learning and an application to boosting. In: Vit\u00e1nyi, P. (ed.) EuroCOLT 1995. LNCS, vol. 904, pp. 23\u201337. Springer, Heidelberg (1995)"},{"key":"46_CR3","volume-title":"Classification and Regression Trees","author":"L Breiman","year":"1984","unstructured":"Breiman, L., Friedman, J., Stone, C.J., Olshen, R.A.: Classification and Regression Trees. CRC Press, Boca Raton (1984)"},{"key":"46_CR4","doi-asserted-by":"publisher","first-page":"5","DOI":"10.1023\/A:1010933404324","volume":"45","author":"L Breiman","year":"2001","unstructured":"Breiman, L.: Random forests. Mach. Learn. 45, 5\u201332 (2001)","journal-title":"Mach. Learn."},{"key":"46_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, 182\u2013197 (2002)","journal-title":"IEEE Trans. Evol. Comput."},{"key":"46_CR6","doi-asserted-by":"publisher","first-page":"231","DOI":"10.1016\/j.eswa.2005.09.024","volume":"31","author":"CL Huang","year":"2006","unstructured":"Huang, C.L., Wang, C.J.: A ga-based feature selection and parameters optimizationfor support vector machines. Expert Syst. Appl. 31, 231\u2013240 (2006)","journal-title":"Expert Syst. Appl."},{"key":"46_CR7","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"147","DOI":"10.1007\/11548706_16","volume-title":"Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing","author":"Q-H Hu","year":"2005","unstructured":"Hu, Q.-H., Yu, D.-R., Wang, M.-Y.: Constructing rough decision forests. In: \u015alzak, D., Yao, J.T., Peters, J.F., Ziarko, W.P., Hu, X. (eds.) RSFDGrC 2005. LNCS (LNAI), vol. 3642, pp. 147\u2013156. Springer, Heidelberg (2005)"},{"key":"46_CR8","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"1077","DOI":"10.1007\/3-540-45105-6_117","volume-title":"Genetic and Evolutionary Computation - GECCO 2003","author":"H Ishibuchi","year":"2003","unstructured":"Ishibuchi, H., Yamamoto, T.: Evolutionary multiobjective optimization for generating an ensemble of fuzzy rule-based classifiers. In: Cant\u00fa-Paz, E., et al. (eds.) GECCO 2003. LNCS, vol. 2723, pp. 1077\u20131088. Springer, Heidelberg (2003)"},{"key":"46_CR9","doi-asserted-by":"crossref","unstructured":"Abbass, H.A.: Pareto neuro-evolution: Constructing ensemble of neural networks using multi-objective optimization. In: Proceedings of the IEEE Congress on Evolutionary Computation. vol. 3, pp. 2074\u20132080. IEEE (2003)","DOI":"10.1109\/CEC.2003.1299928"},{"key":"46_CR10","doi-asserted-by":"publisher","first-page":"337","DOI":"10.1080\/095400996116802","volume":"8","author":"DW Opitz","year":"1996","unstructured":"Opitz, D.W., Shavlik, J.W.: Actively searching for an effective neural network ensemble. Connect. Sci. 8, 337\u2013354 (1996)","journal-title":"Connect. Sci."},{"key":"46_CR11","doi-asserted-by":"publisher","first-page":"65","DOI":"10.1007\/s10044-002-0181-7","volume":"6","author":"K Tumer","year":"2003","unstructured":"Tumer, K., Oza, N.C.: Input decimated ensembles. Pattern Anal. Appl. 6, 65\u201377 (2003)","journal-title":"Pattern Anal. Appl."},{"key":"46_CR12","first-page":"61801","volume":"51","author":"CK Oei","year":"1991","unstructured":"Oei, C.K., Goldberg, D.E., Chang, S.J.: Tournament selection, niching, and the preservation of diversity. Urbana 51, 61801 (1991)","journal-title":"Urbana"},{"key":"46_CR13","first-page":"1","volume":"9","author":"K Deb","year":"1994","unstructured":"Deb, K., Agrawal, R.B.: Simulated binary crossover for continuous search space. Complex Syst. 9, 1\u201334 (1994)","journal-title":"Complex Syst."},{"key":"46_CR14","volume-title":"Multi-objective Optimization Using Evolutionary Algorithms","author":"L Deb","year":"2001","unstructured":"Deb, L., et al.: Multi-objective Optimization Using Evolutionary Algorithms, vol. 2012. Wiley, Chichester (2001)"},{"key":"46_CR15","unstructured":"Schwefel, H.P.: Adaptive mechanismen in der biologischen evolution und ihr einflu\u00df auf die evolutionsgeschwindigkeit. Interner Bericht der Arbeitsgruppe Bionik und Evolutionstechnik am Institut f\u00fcr Mess-und Regelungstechnik 215 (1974)"},{"key":"46_CR16","doi-asserted-by":"crossref","unstructured":"Joines, J.A., Houck, C.R.: On the use of non-stationary penalty functions to solve nonlinear constrained optimization problems with GA\u2019s. In: First IEEE Conference on Evolutionary Computation, pp. 579\u2013584. IEEE (1994)","DOI":"10.1109\/ICEC.1994.349995"},{"key":"46_CR17","doi-asserted-by":"publisher","first-page":"1293","DOI":"10.1109\/TPAMI.2008.30","volume":"30","author":"G Fumera","year":"2008","unstructured":"Fumera, G., Roli, F., Serrau, A.: A theoretical analysis of bagging as a linear combination of classifiers. IEEE Trans. Pattern Anal. Mach. Intel. 30, 1293\u20131299 (2008)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intel."},{"key":"46_CR18","first-page":"882","volume-title":"Advances in Neural Information Processing Systems","author":"B Parmanto","year":"1995","unstructured":"Parmanto, B., Munro, P.W., Doyle, H.R.: Improving committee diagnosis with resampling techniques. In: Touretzky, D.S., Mozer, M.C., Hasselmo, M.E. (eds.) Advances in Neural Information Processing Systems, pp. 882\u2013888. MIT Press, Cambridge (1995)"},{"key":"46_CR19","doi-asserted-by":"publisher","first-page":"355","DOI":"10.1080\/095400996116811","volume":"8","author":"Y Raviv","year":"1996","unstructured":"Raviv, Y., Intrator, N.: Bootstrapping with noise: an effective regularization technique. Connet. Sci. 8, 355\u2013372 (1996)","journal-title":"Connet. Sci."},{"key":"46_CR20","first-page":"2825","volume":"12","author":"F Pedregosa","year":"2011","unstructured":"Pedregosa, F., Varoquaux, G., Gramfort, A., Michel, V., Thirion, B., Grisel, O., Blondel, M., Prettenhofer, P., Weiss, R., Dubourg, V., Vanderplas, J., Passos, A., Cournapeau, D., Brucher, M., Perrot, M., Duchesnay, E.: Scikit-learn: machine learning in python. J. Mach. Learn. Res. 12, 2825\u20132830 (2011)","journal-title":"J. Mach. Learn. Res."}],"container-title":["Lecture Notes in Computer Science","Applications of Evolutionary Computation"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-16549-3_46","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,5,21]],"date-time":"2025-05-21T00:16:42Z","timestamp":1747786602000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-319-16549-3_46"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015]]},"ISBN":["9783319165486","9783319165493"],"references-count":20,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-16549-3_46","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2015]]},"assertion":[{"value":"17 March 2015","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}}]}}