Swarm, Evolutionary, and Memetic Computing [electronic resource] : 6th International Conference, SEMCCO 2015, Hyderabad, India, December 18-19, 2015, Revised Selected Papers / edited by Bijaya Ketan Panigrahi, Ponnuthurai Nagaratnam Suganthan, Swagatam Das, Suresh Chandra Satapathy.
Contributor(s): Panigrahi, Bijaya Ketan [editor.]
| Suganthan, Ponnuthurai Nagaratnam [editor.] | Das, Swagatam [editor.] | Satapathy, Suresh Chandra [editor.] | SpringerLink (Online service).
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BookSeries: Theoretical Computer Science and General Issues: 9873Publisher: Cham : Springer International Publishing : Imprint: Springer, 2016Edition: 1st ed. 2016.Description: XI, 288 p. 117 illus. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783319489599.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 volume constitutes the thoroughly refereed post-conference proceedings of the 6th International Conference on Swarm, Evolutionary, and Memetic Computing, SEMCCO 2015, held in Hyderabad, India, in December 2015. The 23 full papers presented in this volume were carefully reviewed and selected from 40 submissions for inclusion in the proceedings. 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 volume constitutes the thoroughly refereed post-conference proceedings of the 6th International Conference on Swarm, Evolutionary, and Memetic Computing, SEMCCO 2015, held in Hyderabad, India, in December 2015. The 23 full papers presented in this volume were carefully reviewed and selected from 40 submissions for inclusion in the proceedings. 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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