1 option
Advances in Swarm Intelligence : 13th International Conference, ICSI 2022, Xi'an, China, July 15-19, 2022, Proceedings, Part II / edited by Ying Tan, Yuhui Shi, Ben Niu.
- Format:
- Book
- Series:
- Computer Science (SpringerNature-11645)
- Lecture notes in computer science 1611-3349 ; 13345
- Lecture Notes in Computer Science, 1611-3349 ; 13345
- Language:
- English
- Subjects (All):
- Computer science.
- Computer engineering.
- Computer networks.
- Machine learning.
- Image processing-Digital techniques.
- Computer vision.
- Computer science-Mathematics.
- Theory of Computation.
- Computer Engineering and Networks.
- Machine Learning.
- Computer Imaging, Vision, Pattern Recognition and Graphics.
- Mathematics of Computing.
- Local Subjects:
- Theory of Computation.
- Computer Engineering and Networks.
- Machine Learning.
- Computer Imaging, Vision, Pattern Recognition and Graphics.
- Mathematics of Computing.
- Physical Description:
- 1 online resource (XXI, 454 pages) : 162 illustrations, 118 illustrations in color.
- Edition:
- 1st ed. 2022.
- Contained In:
- Springer Nature eBook
- Place of Publication:
- Cham : Springer International Publishing : Imprint: Springer, 2022.
- System Details:
- text file PDF
- Summary:
- 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 second part cover topics such as: Swarm Robotics and Multi-agent System; Deep Neural Networks; Machine Learning; Data Mining; Other Optimization Applications; ICSI-OC'2022: 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.
- Contents:
- 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
- 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.
- Other Format:
- Printed edition:
- ISBN:
- 978-3-031-09726-3
- 9783031097263
- Access Restriction:
- Restricted for use by site license.
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