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Advances in Swarm Intelligence - Ying Tan - Bog

Bag om Advances in Swarm Intelligence

This two-volume set LNCS 13968 and 13969 constitutes the proceedings of the 14th International Conference on Advances in Swarm Intelligence, ICSI 2023, which took place in Shenzhen, China, China, in July 2023. The theme of this year¿s conference was ¿Serving Life with Swarm Intelligence¿. The 81 full papers presented were carefully reviewed and selected from 170 submissions. The papers are organized into 12 cohesive sections covering major topics of swarm intelligence research and its development and applications. The papers of the first part cover topics such as: Swarm Intelligence Computing; Swarm Intelligence Optimization Algorithms; Particle Swarm Optimization Algorithms; Genetic Algorithms; Optimization Computing Algorithms; Neural Network Search & Large-Scale Optimization; Multi-objective Optimization.

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  • Sprog:
  • Engelsk
  • ISBN:
  • 9783031366215
  • Indbinding:
  • Paperback
  • Sideantal:
  • 516
  • Udgivet:
  • 8. juli 2023
  • Udgave:
  • 23001
  • Størrelse:
  • 155x28x235 mm.
  • Vægt:
  • 774 g.
  • 8-11 hverdage.
  • 16. januar 2025
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Forlænget returret til d. 31. januar 2025
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Beskrivelse af Advances in Swarm Intelligence

This two-volume set LNCS 13968 and 13969 constitutes the proceedings of the 14th International Conference on Advances in Swarm Intelligence, ICSI 2023, which took place in Shenzhen, China, China, in July 2023. The theme of this year¿s conference was ¿Serving Life with Swarm Intelligence¿.
The 81 full papers presented were carefully reviewed and selected from 170 submissions. The papers are organized into 12 cohesive sections covering major topics of swarm intelligence research and its development and applications. The papers of the first part cover topics such as: Swarm Intelligence Computing; Swarm Intelligence Optimization Algorithms; Particle Swarm Optimization Algorithms; Genetic Algorithms; Optimization Computing Algorithms; Neural Network Search & Large-Scale Optimization; Multi-objective Optimization.

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