Advances in Swarm Intelligence

13th International Conference, ICSI 2022, Xi'an, China, July 15–19, 2022, Proceedings, Part I

Ying Tan, Yuhui Shi, Ben Niu (Herausgeber)

Buch | Softcover

XVII, 548 Seiten

2022 | 1st ed. 2022
Springer International Publishing (Verlag)
978-3-031-09676-1 (ISBN)

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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. Swarm-based Computing Algorithms for Optimization; Brain Storm Optimization Algorithm; Bacterial Foraging Optimization Algorithm;

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.

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.

Erscheinungsdatum	30.06.2022
Reihe/Serie	Lecture Notes in Computer Science
Zusatzinfo	XVII, 548 p. 168 illus., 111 illus. in color.
Verlagsort	Cham
Sprache	englisch
Maße	155 x 235 mm
Gewicht	860 g
Themenwelt	Mathematik / Informatik ► Informatik ► Netzwerke
	Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
	Informatik ► Weitere Themen ► Hardware
Schlagworte	Adaptive Algorithms • Applications • artificial bee colonies • clustering algorithms • Computer Networks • Computer Science • Computer systems • conference proceedings • Correlation Analysis • Differential evolution • evolutionary algorithms • Genetic algorithms • Informatics • machine learning • Multi-objective Optimisation • Optimization • Optimization Problems • particle swarm optimization (PSO) • Research • Signal Processing • Swarm intelligence
ISBN-10	3-031-09676-2 / 3031096762
ISBN-13	978-3-031-09676-1 / 9783031096761
Zustand	Neuware