Advances in swarm intelligence : 5th International Conference, ICSI 2014, Hefei, China, October 17-20, 2014, Proceedings. Part II /
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Meeting name: | ICSI (Conference) (5th : 2014 : Hefei Shi, China) |
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Imprint: | Cham : Springer, 2014. |
Description: | 1 online resource (xxiv, 464 pages) : illustrations. |
Language: | English |
Series: | Lecture Notes in Computer Science, 0302-9743 ; 8795 LNCS sublibrary. SL 1, Theoretical computer science and general issues Lecture notes in computer science ; 8795. LNCS sublibrary. SL 1, Theoretical computer science and general issues. |
Subject: | |
Format: | E-Resource Book |
URL for this record: | http://pi.lib.uchicago.edu/1001/cat/bib/11087791 |
Varying Form of Title: | ICSI 2014 |
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Other authors / contributors: | Tan, Ying, 1964- editor. Shi, Yuhui, editor. Coello Coello, Carlos A., editor. |
ISBN: | 9783319118970 3319118978 9783319118963 331911896X 9783319118963 |
Notes: | International conference proceedings. Includes author index. Online resource; title from PDF title page (SpringerLink, viewed September 19, 2014). |
Summary: | This book and its companion volume, LNCS vol. 8794 and 8795 constitute the proceedings of the 5th International Conference on Swarm Intelligence, ICSI 2014, held in Hefei, China in October 2014. The 107 revised full papers presented were carefully reviewed and selected from 198 submissions. The papers are organized in 18 cohesive sections, 3 special sessions and one competitive session covering all major topics of swarm intelligence research and development such as novel swarm-based search methods; novel optimization algorithm; particle swarm optimization; ant colony optimization for travelling salesman problem; artificial bee colony algorithms; artificial immune system; evolutionary algorithms; neural networks and fuzzy methods; hybrid methods; multi-objective optimization; multi-agent systems; evolutionary clustering algorithms; classification methods; GPU-based methods; scheduling and path planning; wireless sensor networks; power system optimization; swarm intelligence in image and video processing; applications of swarm intelligence to management problems; swarm intelligence for real-world application. |
Other form: | Printed edition: 9783319118963 |
Standard no.: | 10.1007/978-3-319-11897-0 |
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