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Advances in Swarm Intelligence de Ying Tan

Advances in Swarm Intelligence: Lecture Notes in Computer Science

Editat de Ying Tan, Yuhui Shi, Ben Niu
en Limba Engleză Paperback – 26 iun 2022
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.

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Specificații

ISBN-13: 9783031097256
ISBN-10: 3031097254
Pagini: 476
Ilustrații: XXI, 454 p. 162 illus., 118 illus. in color.
Dimensiuni: 155 x 235 x 26 mm
Greutate: 0.72 kg
Ediția:1st edition 2022
Editura: Springer
Seria Lecture Notes in Computer Science

Locul publicării:Cham, Switzerland

Cuprins

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.

Caracteristici

Includes supplementary material: sn.pub/extras