Swarm, Evolutionary, and Memetic Computing - 6th International Conference, SEMCCO 2015, Hyderabad, India, December 18-19, 2015, Revised Selected Papers

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.

Zusammenfassung

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.

Produktdetails

• Mitarbeit: Swagatam Das (Herausgeber), B K Panigrahi (Herausgeber), Bijaya Ketan Panigrahi (Herausgeber), Suresh Chandra Satapathy (Herausgeber), Ponnuthurai Nagaratnam Suganthan (Herausgeber)
• Verlag: Springer, Berlin
• Sprache: Englisch
• Produktform: Taschenbuch
• Erschienen: 06.12.2016
• EAN: 9783319489582
• ISBN: 978-3-31-948958-2
• Seiten: 288
• Abmessung: 156 mm x 18 mm x 237 mm
• Gewicht: 484 g
• Illustration: XI, 288 p. 117 illus.
• Serien: Lecture Notes in Computer Science; Theoretical Computer Science and General Issues
• Themen: Naturwissenschaften, Medizin, Informatik, Technik > Informatik, EDV > Informatik; C, Künstliche Intelligenz, Algorithmen und Datenstrukturen, Software Engineering, Algorithms, Artificial Intelligence, Mustererkennung, Netzwerk-Hardware, computer science, Theory of Computation, Scheduling, pattern recognition, Computer Communication Networks, Computers, Algorithms & data structures, Automated Pattern Recognition, Algorithm Analysis and Problem Complexity, Computer communication systems, Network hardware, Computation by Abstract Devices, Time Series, support vector machine, wireless sensor networks, large-scale optimization