Advances in Swarm Intelligence

13th International Conference, ICSI 2022, Xi'an, China, July 15-19, 2022, Proceedings, Part I
1. Auflage 2022
ISBN: 978-3-031-09676-1
Verlag: Springer International Publishing

Buch, Englisch, Band 13344, 548 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 850 g

Reihe: Lecture Notes in Computer Science

This two-volume set LNCS 13344 and 13345 constitutes the proceedings of the 13 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.

Zielgruppe

Research

Autoren/Hrsg.

Tan, Ying

Niu, Ben

Shi, Yuhui

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Theoretische Informatik

Inhaltsverzeichnis

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.