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Advances in Swarm Intelligence: 13th International Conference, ICSI 2022, Xi'an, China, July 1519, 2022, Proceedings, Part II 1st ed. 2022 [Mīkstie vāki]

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  • Formāts: Paperback / softback, 454 pages, height x width: 235x155 mm, weight: 724 g, 118 Illustrations, color; 44 Illustrations, black and white; XXI, 454 p. 162 illus., 118 illus. in color., 1 Paperback / softback
  • Sērija : Lecture Notes in Computer Science 13345
  • Izdošanas datums: 26-Jun-2022
  • Izdevniecība: Springer International Publishing AG
  • ISBN-10: 3031097254
  • ISBN-13: 9783031097256
  • Mīkstie vāki
  • Cena: 154,01 €*
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  • Formāts: Paperback / softback, 454 pages, height x width: 235x155 mm, weight: 724 g, 118 Illustrations, color; 44 Illustrations, black and white; XXI, 454 p. 162 illus., 118 illus. in color., 1 Paperback / softback
  • Sērija : Lecture Notes in Computer Science 13345
  • Izdošanas datums: 26-Jun-2022
  • Izdevniecība: Springer International Publishing AG
  • ISBN-10: 3031097254
  • ISBN-13: 9783031097256

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.


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.