Swarm, Evolutionary, and Memetic Computing [electronic resource] : Third International Conference, SEMCCO 2012, Bhubaneswar, India, December 20-22, 2012, Proceedings / edited by Bijaya Ketan Panigrahi, Swagatam Das, Ponnuthurai Nagaratnam Suganthan, Pradipta Kumar Nanda.
Contributor(s): Panigrahi, Bijaya Ketan [editor.]
| Das, Swagatam [editor.] | Suganthan, Ponnuthurai Nagaratnam [editor.] | Nanda, Pradipta Kumar [editor.] | SpringerLink (Online service).
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BookSeries: Theoretical Computer Science and General Issues: 7677Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2012Edition: 1st ed. 2012.Description: XX, 813 p. 308 illus. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783642353802.Subject(s): Computer science | Artificial intelligence | Algorithms | Pattern recognition systems | Computer networks | Software engineering | Theory of Computation | Artificial Intelligence | Algorithms | Automated Pattern Recognition | Computer Communication Networks | Software EngineeringAdditional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 004.0151 Online resources: Click here to access online
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Springer Nature eBookSummary: This book constitutes the refereed proceedings of the Third International Conference on Swarm, Evolutionary, and Memetic Computing, SEMCCO 2012, held in Bhubaneswar, India, in December 2012. The 96 revised full papers presented were carefully reviewed and selected from 310 initial submissions. The papers cover a wide range of topics in swarm, evolutionary, memetic and other intelligent computing algorithms and their real world applications in problems selected from diverse domains of science and engineering.
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This book constitutes the refereed proceedings of the Third International Conference on Swarm, Evolutionary, and Memetic Computing, SEMCCO 2012, held in Bhubaneswar, India, in December 2012. The 96 revised full papers presented were carefully reviewed and selected from 310 initial submissions. The papers cover a wide range of topics in swarm, evolutionary, memetic and other intelligent computing algorithms and their real world applications in problems selected from diverse domains of science and engineering.
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