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Record Nr. |
UNINA9910483059503321 |
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Titolo |
Simulated Evolution and Learning : 8th International Conference, SEAL 2010, Kanpur, India, December 1-4, 2010, Proceedings / / edited by Kalyanmoy Deb, Arnab Bhattacharya, Nirupam Chakraborti, Partha Chakroborty, Swagatam Das, Joydeep Dutta, Santosh K. Gupta, Ashu Jain, Varun Aggarwal, Juergen Branke, Sushil J. Louis, Kay Chen Tan |
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Pubbl/distr/stampa |
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Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2010 |
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ISBN |
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Edizione |
[1st ed. 2010.] |
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Descrizione fisica |
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1 online resource (XVII, 719 p. 173 illus.) |
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Collana |
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Theoretical Computer Science and General Issues, , 2512-2029 ; ; 6457 |
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Altri autori (Persone) |
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Disciplina |
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Soggetti |
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Computer programming |
Computer science |
Data mining |
Artificial intelligence |
Computer simulation |
Programming Techniques |
Theory of Computation |
Data Mining and Knowledge Discovery |
Artificial Intelligence |
Computer Modelling |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Nota di contenuto |
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Invited Paper -- Theoretical Developments -- Evolutionary Algorithms and Applications -- Learning Methodologies -- Multi-Objective Evolutionary Algorithms and Applications -- Hybrid Algorithms -- Industrial Applications. |
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Sommario/riassunto |
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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, |
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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. |
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