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Applied Nature-Inspired Computing: Algorithms and Case Studies

About 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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  • Language:
  • English
  • ISBN:
  • 9789811392658
  • Binding:
  • Paperback
  • Pages:
  • 275
  • Published:
  • August 24, 2020
  • Edition:
  • 12020
  • Dimensions:
  • 155x235x0 mm.
  • Weight:
  • 444 g.
Delivery: 1-2 weeks
Expected delivery: December 6, 2024

Description of 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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