Applied Nature-Inspired Computing: Algorithms and Case Studies

Applied Nature-Inspired Computing: Algorithms and Case Studies
Author :
Publisher : Springer
Total Pages : 281
Release :
ISBN-10 : 9789811392634
ISBN-13 : 9811392633
Rating : 4/5 (34 Downloads)

Book Synopsis Applied Nature-Inspired Computing: Algorithms and Case Studies by : Nilanjan Dey

Download or read book Applied Nature-Inspired Computing: Algorithms and Case Studies written by Nilanjan Dey and published by Springer. This book was released on 2019-08-10 with total page 281 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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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Mit diesem Buch soll aufgezeigt werden, wie von der Natur inspirierte Berechnungen eine praktische Anwendung im maschinellen Lernen finden, damit wir ein besser