Ying Tan, Yuhui Shi, Li Li ... 657 pages -
Publisher: Springer; 1st edition (September, 2016) ...
Language: English -
ASIN: B01IK5HJEQ by Amazon Digital Services ...
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.
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.