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Advances in Swarm and Computational Intelligence : 6th International Conference, ICSI 2015 held in conjunction with the Second BRICS Congress, CCI 2015, Beijing, June 25-28, 2015, Proceedings, Part II (Lecture Notes in Computer Science)

By: Alexander Gelbukh (Edited by) , Andries Engelbrecht (Edited by) , Fernando Buarque (Edited by) , Swagatam Das (Edited by) , Ying Tan (Edited by) , Yuhui Shi (Edited by)

Extended Catalogue

Ksh 9,950.00

Format: Paperback or Softback

ISBN-10: 3319204718

ISBN-13: 9783319204710

Collection / Series: Lecture Notes in Computer Science

Collection Type: Publisher collection

Edition statement: 2015 ed.

Publisher: Springer International Publishing AG

Imprint: Springer International Publishing AG

Country of Manufacture: CH

Country of Publication: GB

Publication Date: Jun 10th, 2015

Publication Status: Active

Product extent: 498 Pages

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This book and its companion volumes, LNCS volumes 9140, 9141 and 9142, constitute the proceedings of the 6th International Conference on Swarm Intelligence, ICSI 2015 held in conjunction with the Second BRICS Congress on Computational Intelligence, CCI 2015, held in Beijing, China in June 2015.
This book and its companion volumes, LNCS volumes 9140, 9141 and 9142, constitute the proceedings of the 6th International Conference on Swarm Intelligence, ICSI 2015 held in conjunction with the Second BRICS Congress on Computational Intelligence, CCI 2015, held in Beijing, China in June 2015. The 161 revised full papers presented were carefully reviewed and selected from 294 submissions. The papers are organized in 28 cohesive sections covering all major topics of swarm intelligence and computational intelligence research and development, such as novel swarm-based optimization algorithms and applications; particle swarm opt8imization; ant colony optimization; artificial bee colony algorithms; evolutionary and genetic algorithms; differential evolution; brain storm optimization algorithm; biogeography based optimization; cuckoo search; hybrid methods; multi-objective optimization; multi-agent systems and swarm robotics; Neural networks and fuzzy methods; data mining approaches; information security; automation control; combinatorial optimization algorithms; scheduling and path planning; machine learning; blind sources separation; swarm interaction behavior; parameters and system optimization; neural networks; evolutionary and genetic algorithms; fuzzy systems; forecasting algorithms; classification; tracking analysis; simulation; image and texture analysis; dimension reduction; system optimization; segmentation and detection system; machine translation; virtual management and disaster analysis.

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