Applied Nature-Inspired Computing: Algorithms and Case Studies

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This book presents a cutting-edge research procedure in the Nature-Inspired Computing (NIC) domain and its connections with computational intelligence areas in real-world engineering applications. 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,...

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This book presents a cutting-edge research procedure in the Nature-Inspired Computing (NIC) domain and its connections with computational intelligence areas in real-world engineering applications. 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,...

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  • Formats: pdf
  • ISBN: 9789811392634
  • Publication Date: 10 Aug 2019
  • Publisher: Springer Nature Singapore
  • Product language: English
  • Drm Setting: DRM