Advances in Swarm Intelligence 13th International Conference, ICSI 2022, Xi'an, China, July 15-19, 2022, Proceedings, Part I / [electronic resource] :
edited by Ying Tan, Yuhui Shi, Ben Niu.
- 1st ed. 2022.
- XVII, 548 p. 168 illus., 111 illus. in color. online resource.
- Lecture Notes in Computer Science, 13344 1611-3349 ; .
- Lecture Notes in Computer Science, 13344 .
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.
This two-volume set LNCS 13344 and 13345 constitutes the proceedings of the 13th 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.
9783031096778
10.1007/978-3-031-09677-8 doi
Computer science.
Computer engineering.
Computer networks .
Machine learning.
Computer science--Mathematics.
Theory of Computation.
Computer Engineering and Networks.
Machine Learning.
Computer Engineering and Networks.
Mathematics of Computing.
QA75.5-76.95
004.0151
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.
This two-volume set LNCS 13344 and 13345 constitutes the proceedings of the 13th 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.
9783031096778
10.1007/978-3-031-09677-8 doi
Computer science.
Computer engineering.
Computer networks .
Machine learning.
Computer science--Mathematics.
Theory of Computation.
Computer Engineering and Networks.
Machine Learning.
Computer Engineering and Networks.
Mathematics of Computing.
QA75.5-76.95
004.0151