Swarm, Evolutionary, and Memetic Computing [electronic resource] : Second International Conference, SEMCCO 2011, Visakhapatnam, Andhra Pradesh, India, December 19-21, 2011, Proceedings, Part II / edited by Bijaya Ketan Panigrahi, Ponnuthurai Nagaratnam Suganthan, Swagatam Das, Suresh Chandra Satapathy.
By: Panigrahi, Bijaya Ketan [editor.].
Contributor(s): Suganthan, Ponnuthurai Nagaratnam [editor.] | Das, Swagatam [editor.] | Satapathy, Suresh Chandra [editor.] | SpringerLink (Online service).
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BookSeries: Lecture Notes in Computer Science: 7077Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 2011Description: XXII, 332p. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783642272424.Subject(s): Computer science | Computer Communication Networks | Computer software | Artificial intelligence | Optical pattern recognition | Computer Science | Computation by Abstract Devices | Artificial Intelligence (incl. Robotics) | Algorithm Analysis and Problem Complexity | Pattern Recognition | Computer Communication Networks | Programming TechniquesDDC classification: 004.0151 Online resources: Click here to access online
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Springer eBooksSummary: 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.
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.
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