Advances in Swarm Intelligence
13th International Conference, ICSI 2022, Xi'an, China, July 15-19, 2022, Proceedings, Part I
Published on 25. June 2022
XVII, 548 pages
978-3-031-09677-8 (ISBN)
Description
This two-volume set LNCS 13344 and 13345 constitutes the proceedings of the 13
th
International Conference on Advances in Swarm Intelligence, ICSI 2022, which took place in Xi'an, China, in July 2022. The theme of this year's conference was "Serving Life with Swarm Intelligence".
The 85 full papers presented were carefully reviewed and selected from 171 submissions. The papers of the first part cover topics such as: Swarm Intelligence and Nature-Inspired Computing; Swarm-based Computing Algorithms for Optimization; Particle Swarm Optimization; Ant Colony Optimization; Differential Evolution; Genetic Algorithm and Evolutionary Computation; Fireworks Algorithms; Brain Storm Optimization Algorithm; Bacterial Foraging Optimization Algorithm; DNA Computing Methods; Multi-Objective Optimization; Swarm Robotics and Multi-Agent System; UAV Cooperation and Control; Machine Learning; Data Mining; and Other Applications.
More details
Series
Edition
1st ed. 2022
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Product notice
Reflowable
Illustrations
XVII, 548 p. 168 illus., 111 illus. in color.
ISBN-13
978-3-031-09677-8 (9783031096778)
DOI
10.1007/978-3-031-09677-8
Schweitzer Classification
Other editions
Additional editions
Ying Tan | Yuhui Shi | Ben Niu
Advances in Swarm Intelligence
13th International Conference, ICSI 2022, Xi'an, China, July 15-19, 2022, Proceedings, Part I
Book
06/2022
Springer
€96.29
Shipment within 15-20 days
Content
Swarm Intelligence and Nature-Inspired Computing.- Swarm-based Computing Algorithms for Optimization.- Swarm Optimization; Ant Colony Optimization; Differential Evolution.- Genetic Algorithm and Evolutionary Computation; Fireworks Algorithms.- Brain Storm Optimization Algorithm.- Bacterial Foraging Optimization Algorithm.- DNA Computing Methods.- Multi-Objective Optimization.- Swarm Robotics and Multi-Agent System.- UAV Cooperation and Control.- Machine Learning; Data Mining.- Swarm Robotics and Multi-agent System.- Deep Neural Networks; Machine Learning; Data Mining.- Other Optimization Applications.- Competition on Single Objective Bounded Optimization Problems.- Swarm Intelligence and Nature-Inspired Computing.- Swarm-based Computing Algorithms for Optimization.- Particle Swarm Optimization; Ant Colony Optimization.- Genetic Algorithm and Evolutionary Computation.- Fireworks Algorithms.- Brain Storm Optimization Algorithm; Swarm Intelligence Approach-based Applications.- Multi-Objective Optimization.
