TY  - BOOK
AU  - Tan,Ying
AU  - Shi,Yuhui
AU  - Li,Li
ED  - ICSI (Conference)
TI  - Advances in swarm intelligence: 7th International Conference, ICSI 2016, Bali, Indonesia, June 25-30, 2016, Proceedings
T2  - Lecture Notes in Computer Science,
SN  - 9783319410005
AV  - Q337.3 
U1  - 006.3/824 23
PY  - 2016///
CY  - [Place of publication not identified]
PB  - Springer
KW  - Swarm intelligence
KW  - Congresses
KW  - Artificial intelligence
KW  - bicssc
KW  - Mathematical theory of computation
KW  - Computer science
KW  - Data mining
KW  - Computer modelling & simulation
KW  - Algorithms & data structures
KW  - Computers
KW  - Intelligence (AI) & Semantics
KW  - bisacsh
KW  - Programming
KW  - Algorithms
KW  - Online Services
KW  - General
KW  - Database Management
KW  - Data Mining
KW  - Computer Simulation
KW  - fast
KW  - Congress
KW  - proceedings (reports)
KW  - aat
KW  - Conference papers and proceedings
KW  - lcgft
KW  - Actes de congrès
KW  - rvmgf
N1  - International conference proceedings; Includes author index; Trend and models of swarm intelligence research -- Novel swarm-based optimization algorithms.-Swarming behaviour -- Some swarm intelligence algorithms and their applications -- Hybrid search optimization -- Particle swarm optimization -- PSO applications -- Ant colony optimization -- Brain storm optimization -- Fireworks algorithms -- Multi-objective optimization -- Large-scale global optimization -- Biometrics
N2  - This two-volume set LNCS 9712 and LNCS 9713 constitutes the refereed proceedings of the 7th International Conference on Swarm Intelligence, ICSI 2016, held in Bali, Indonesia, in June 2016. The 130 revised regular papers presented were carefully reviewed and selected from 231 submissions. The papers are organized in 22 cohesive sections covering major topics of swarm intelligence and related areas such as trend and models of swarm intelligence research; novel swarm-based optimization algorithms; swarming behaviour; some swarm intelligence algorithms and their applications; hybrid search optimization; particle swarm optimization; PSO applications; ant colony optimization; brain storm optimization; fireworks algorithms; multi-objective optimization; large-scale global optimization; biometrics; scheduling and planning; machine learning methods; clustering algorithm; classification; image classification and encryption; data mining; sensor networks and social networks; neural networks; swarm intelligence in management decision making and operations research; robot control; swarm robotics; intelligent energy and communications systems; and intelligent and interactive and tutoring systems
UR  - https://link.springer.com/10.1007/978-3-319-41000-5
ER  -