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Applied Nature-Inspired Computing: Algorithms and Case Studies

Jezik AngleščinaAngleščina
Knjiga Trda
Knjiga Applied Nature-Inspired Computing: Algorithms and Case Studies Nilanjan Dey
Koda Libristo: 22556958
Založba Springer Verlag, Singapore, avgust 2019
This book presents a cutting-edge research procedure in the Nature-Inspired Computing (NIC) domain a... Celoten opis
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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, 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.

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O knjigi

Polni naslov Applied Nature-Inspired Computing: Algorithms and Case Studies
Jezik Angleščina
Vezava Knjiga - Trda
Datum izida 2019
Število strani 275
EAN 9789811392627
ISBN 9811392625
Koda Libristo 22556958
Teža 600
Mere 155 x 235 x 21
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