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Found 97 Documents (Results 1–97)

A clustering-based multiobjective evolutionary algorithm for balancing exploration and exploitation. (English) Zbl 07239993

Pan, Linqiang (ed.) et al., Bio-inspired computing: theories and applications. 14th international conference, BIC-TA 2019, Zhengzhou, China, November 22–25, 2019. Revised selected papers. Part I. Singapore: Springer. Commun. Comput. Inf. Sci. 1159, 355-369 (2020).
MSC:  68Q07
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Memetic graph clustering. (English) Zbl 1493.68294

D’Angelo, Gianlorenzo (ed.), 17th symposium on experimental algorithms, SEA 2018, June 27–29, 2018, L’Aquila, Italy. Wadern: Schloss Dagstuhl – Leibniz Zentrum für Informatik. LIPIcs – Leibniz Int. Proc. Inform. 103, Article 3, 15 p. (2018).
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Evolutionary approach to machine learning and deep neural networks. Neuro-evolution and gene regulatory networks. (English) Zbl 1394.68003

Singapore: Springer (ISBN 978-981-13-0199-5/hbk; 978-981-13-0200-8/ebook). xiii, 245 p. (2018).
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Information processing and management of uncertainty in knowledge-based systems. 16th international conference, IPMU 2016, Eindhoven, The Netherlands, June 20–24, 2016. Proceedings. Part I. (English) Zbl 1385.68005

Communications in Computer and Information Science 610. Cham: Springer (ISBN 978-3-319-40595-7/pbk; 978-3-319-40596-4/ebook). xxxiv, 738 p. (2016).
MSC:  68-06 68Txx 00B25
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Information processing and management of uncertainty in knowledge-based systems. 16th international conference, IPMU 2016, Eindhoven, The Netherlands, June 20–24, 2016. Proceedings. Part II. (English) Zbl 1385.68004

Communications in Computer and Information Science 611. Cham: Springer (ISBN 978-3-319-40580-3/pbk; 978-3-319-40581-0/ebook). xxiv, 836 p. (2016).
MSC:  68-06 68Txx 00B25
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Unsupervised classification. Similarity measures, classical and metaheuristic approaches, and applications. (English) Zbl 1276.62038

Heidelberg: Springer (ISBN 978-3-642-32450-5/hbk; 978-3-642-32451-2/ebook). xviii, 262 p. (2013).
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Computational intelligence. Methods and techniques. With a foreword by Jacek M. Żurada. Translated from the 2005 Polish original. (English) Zbl 1147.68061

Berlin: Springer (ISBN 978-3-540-76287-4/hbk). xiii, 514 p. (2008).
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Exploiting the trade-off-the benefits of multiple objectives in data clustering. (English) Zbl 1109.68601

Coello Coello, Carlos A. (ed.) et al., Evolutionary multi-criterion optimization. Third international conference, EMO 2005, Guanajuato, Mexico, March 9–11, 2005. Proceedings. Berlin: Springer (ISBN 3-540-24983-4/pbk). Lecture Notes in Computer Science 3410, 547-560 (2005).
MSC:  68T20 90C29 90C59
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Image segmentation by dominant sets. (English) Zbl 1138.68643

Del Lungo, Alberto (ed.) et al., 9th international workshop on combinatorial image analysis. Papers from the workshop, Palermo, Italy, May 14–16, 2003. Amsterdam: Elsevier. Electronic Notes in Discrete Mathematics 12, 166-177 (2003).
MSC:  68U10 90C20 91A22
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A scalable artificial immune system model for dynamic unsupervised learning. (English) Zbl 1028.68853

Cantú-Paz, Erick (ed.) et al., Genetic and evolutionary computation - GECCO 2003. Genetic and evolutionary computation conference, Chicago, IL, USA, July 12-16, 2003. Proceedings, Part I. Berlin: Springer. Lect. Notes Comput. Sci. 2723, 219-230 (2003).
MSC:  68U99 68T05
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Clustering of categoric data in medicine – application of evolutionary algorithms. (English) Zbl 1043.68720

Reusch, Bernd (ed.), Computational intelligence. Theory and applications. International conference, 7th Fuzzy Days, Dortmund, Germany, October 1–3, 2001. Proceedings. Berlin: Springer (ISBN 3-540-42732-5). Lect. Notes Comput. Sci. 2206, 619-627 (2001).
MSC:  68T20 92C50
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