Simulated Evolution and Learning: 8th International Conference, SEAL 2010, Kanpur, India, December 1-4, 2010 Proceedings - Couverture souple
Synopsis
This volume constitutes the proceedings of the 8th International Conference on Simulated Evolution and Learning, SEAL 2010, held in Kanpur, India, in December 2010. The 61full papers and 19 short papers presented were carefully reviewed and selected from 141 submissions. The papers are organized in topical sections on theoretical development, evolutionary algorithms and applications, learning methodologies, multi-objective evolutionary algorithms and applications, hybrid algorithms, and industrial applications.
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Simulated Evolution and Learning: 8th International Conference, SEAL 2010, Kanpur, India, December 1-4, 2010, Proceedings (Lecture Notes in Computer Science, 6457)
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Simulated Evolution and Learning : 8th International Conference, SEAL 2010, Kanpur, India, December 1-4, 2010 Proceedings
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Simulated Evolution and Learning : 8th International Conference, SEAL 2010, Kanpur, India, December 1-4, 2010 Proceedings
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Springer, 2010
ISBN 10 : 3642172970
ISBN 13 : 9783642172977
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Simulated Evolution and Learning (Paperback)
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Paperback. Etat : new. Paperback. ThisLNCSvolumecontainsthepaperspresentedatthe8thSimulatedEvolution and Learning (SEAL 2010) Conference held during December 1-4, 2010 at the Indian Institute of Technology Kanpur in India. SEAL is a prestigious inter- tional conference series in evolutionaryoptimization and machine learning. This biennial event started in Seoul, South Korea in 1996 and was thereafter held in Canberra, Australia in 1998, Nagoya, Japan in 2000, Singapore in 2002, Busan, South Korea in 2004,Hefei, China in 2006and Melbourne, Australia in 2008. SEAL 2010 received 141 paper submissions in total from 30 countries. After a rigorous peer-review process involving 431 reviews in total (averaging a little morethan3reviewsperpaper),60full-lengthand19shortpaperswereaccepted for presentation (both oral and poster) at the conference. The full-length papers alonecorrespondtoa42. 6%acceptancerateandshortpapersaddanother13. 5%. ThepapersincludedinthisLNCSvolumecoverawiderangeoftopicsinsi- latedevolutionandlearning. Theacceptedpapershavebeenclassi?edintothef- lowingmaincategories:(a)theoreticaldevelopments,(b)evolutionaryalgorithms andapplications,(c)learningmethodologies,(d)multi-objectiveevolutionary- gorithms and applications,(e) hybrid algorithms and (f) industrial applications.The conference featured three distinguished keynote speakers. Narendra Karmarkar's talk on "Beyond Convexity: New Perspectives in Computational Optimization" focused on providing new theoretical concepts for non-convex optimization and indicated a rich connection between optimization and ma- ematical physics and also showed a deep signi?cance of advanced geometry to optimization. The advancement of optimization theory for non-convex problems is bene?cial for meta-heuristic optimization algorithms such as evolutionary - gorithms. Manindra Agrawal's talk on "PRIMES is in P" provided a mu- improved version of his celebrated and ground-breaking 2002 work on poly- mial time algorithm for testing prime numbers. The theoretical computation work presented in this keynote lecture should be motivating for the evolutionary optimization and machine learning community at large. Constitutes the proceedings of the 8th International Conference on Simulated Evolution and Learning, SEAL 2010, held in Kanpur, India, in December 2010. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9783642172977
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Simulated Evolution and Learning
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Simulated Evolution and Learning: 8th International Conference, Seal 2010, Kanpur, India, December 1-4, 2010, Proceedings
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Paperback. Etat : Brand New. 2010 edition. 719 pages. 9.00x6.00x1.00 inches. In Stock. N° de réf. du vendeur x-3642172970
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Simulated Evolution and Learning : 8th International Conference, SEAL 2010, Kanpur, India, December 1-4, 2010, Proceedings
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Taschenbuch. Etat : Neu. Neuware - ThisLNCSvolumecontainsthepaperspresentedatthe8thSimulatedEvolution and Learning (SEAL 2010) Conference held during December 1 4, 2010 at the Indian Institute of Technology Kanpur in India. SEAL is a prestigious inter- tional conference series in evolutionaryoptimization and machine learning. This biennial event started in Seoul, South Korea in 1996 and was thereafter held in Canberra, Australia in 1998, Nagoya, Japan in 2000, Singapore in 2002, Busan, South Korea in 2004,Hefei, China in 2006and Melbourne, Australia in 2008. SEAL 2010 received 141 paper submissions in total from 30 countries. After a rigorous peer-review process involving 431 reviews in total (averaging a little morethan3reviewsperpaper),60full-lengthand19shortpaperswereaccepted for presentation (both oral and poster) at the conference. The full-length papers alonecorrespondtoa42. 6%acceptancerateandshortpapersaddanother13. 5%. ThepapersincludedinthisLNCSvolumecoverawiderangeoftopicsinsi- latedevolutionandlearning. Theacceptedpapershavebeenclassi edintothef- lowingmaincategories:(a)theoreticaldevelopments,(b)evolutionaryalgorithms andapplications,(c)learningmethodologies,(d)multi-objectiveevolutionary- gorithms and applications,(e) hybrid algorithms and (f) industrial applications. The conference featured three distinguished keynote speakers. Narendra Karmarkar s talk on Beyond Convexity: New Perspectives in Computational Optimization focused on providing new theoretical concepts for non-convex optimization and indicated a rich connection between optimization and ma- ematical physics and also showed a deep signi cance of advanced geometry to optimization. The advancement of optimization theory for non-convex problems is bene cial for meta-heuristic optimization algorithms such as evolutionary - gorithms. Manindra Agrawal s talk on PRIMES is in P provided a mu- improved version of his celebrated and ground-breaking 2002 work on poly- mial time algorithm for testing prime numbers. The theoretical computation work presented in this keynote lecture should be motivating for the evolutionary optimization and machine learning community at large. N° de réf. du vendeur 9783642172977
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