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Applied Nature-Inspired Computing: Algorithms and Case Studies

indgår i Springer Tracts in Nature-Inspired Computing serien

Applied Nature-Inspired Computing: Algorithms and Case Studies
Bag om Applied Nature-Inspired Computing: Algorithms and Case Studies

It introduces readers to a broad range of algorithms, such as genetic algorithms, particle swarm optimization, the firefly algorithm, flower pollination algorithm, collision-based optimization algorithm, bat algorithm, ant colony optimization, and multi-agent systems.

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  • Sprog:
  • Engelsk
  • ISBN:
  • 9789811392627
  • Indbinding:
  • Hardback
  • Sideantal:
  • 275
  • Udgivet:
  • 24. August 2019
  • Udgave:
  • 12020
  • Vægt:
  • 600 g.
Leveringstid: 8-11 hverdage
Forventet levering: 5. Oktober 2024

Beskrivelse af Applied Nature-Inspired Computing: Algorithms and Case Studies

It introduces readers to a broad range of algorithms, such as genetic algorithms, particle swarm optimization, the firefly algorithm, flower pollination algorithm, collision-based optimization algorithm, bat algorithm, ant colony optimization, and multi-agent systems.

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