Swarm, Evolutionary, and Memetic Computing: Second International Conference, SEMCCO 2011, Visakhapatnam, India, December 19-21, 2011, Proceedings, Part I: Lecture Notes in Computer Science, cartea 7076
Editat de Bijaya Ketan Panigrahi, Ponnuthurai Nagaratnam Suganthan, Swagatam Das, Suresh Chandra Satapathyen Limba Engleză Paperback – 7 dec 2011
Toate formatele și edițiile | Preț | Express |
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Paperback (2) | 332.71 lei 6-8 săpt. | |
Springer International Publishing – 6 dec 2016 | 332.71 lei 6-8 săpt. | |
Springer Berlin, Heidelberg – 7 dec 2011 | 336.21 lei 6-8 săpt. |
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Specificații
ISBN-13: 9783642271717
ISBN-10: 3642271715
Pagini: 766
Ilustrații: XXII, 754 p.
Dimensiuni: 155 x 235 x 43 mm
Greutate: 0.52 kg
Ediția:2011
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seriile Lecture Notes in Computer Science, Theoretical Computer Science and General Issues
Locul publicării:Berlin, Heidelberg, Germany
ISBN-10: 3642271715
Pagini: 766
Ilustrații: XXII, 754 p.
Dimensiuni: 155 x 235 x 43 mm
Greutate: 0.52 kg
Ediția:2011
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seriile Lecture Notes in Computer Science, Theoretical Computer Science and General Issues
Locul publicării:Berlin, Heidelberg, Germany
Public țintă
ResearchTextul de pe ultima copertă
These two volumes, LNCS 7076 and LNCS 7077, constitute the refereed proceedings of the Second International Conference on Swarm, Evolutionary, and Memetic Computing, SEMCCO 2011, held in Visakhapatnam, India, in December 2011.
The 124 revised full papers presented in both volumes were carefully reviewed and selected from 422 submissions. The papers explore new application areas, feature new bio-inspired algorithms for solving specific hard optimization problems, and review the latest progresses in the cutting-edge research with swarm, evolutionary, and memetic computing in both theoretical and practical aspects.
The 124 revised full papers presented in both volumes were carefully reviewed and selected from 422 submissions. The papers explore new application areas, feature new bio-inspired algorithms for solving specific hard optimization problems, and review the latest progresses in the cutting-edge research with swarm, evolutionary, and memetic computing in both theoretical and practical aspects.
Caracteristici
Includes supplementary material: sn.pub/extras