Applied Nature-Inspired Computing: Algorithms and Case Studies

Häftad, Engelska, 2020

Av Nilanjan Dey, Amira S. Ashour, Siddhartha Bhattacharyya

1 459 kr

Beställningsvara. Skickas inom 7-10 vardagar
Fri frakt för medlemmar vid köp för minst 249 kr.

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, bat algorithm, ant colony optimization, and multi-agent systems. In turn, it provides an overview of meta-heuristic algorithms, comparing the advantages and disadvantages of each. Moreover, the book provides a brief outline of the integration of nature-inspired computing techniques and various computational intelligence paradigms, and highlights nature-inspired computing techniques in a range of applications, including: evolutionary robotics, sports training planning, assessment of water distribution systems, flood simulation and forecasting, traffic control, gene expression analysis, antenna array design, and scheduling/dynamic resource management.

Produktinformation

  • Utgivningsdatum2020-08-25
  • Mått155 x 235 x undefined mm
  • FormatHäftad
  • SpråkEngelska
  • SerieSpringer Tracts in Nature-Inspired Computing
  • Antal sidor275
  • FörlagSpringer Verlag, Singapore
  • ISBN9789811392658

Tillhör följande kategorier