Applied Nature-Inspired Computing: Algorithms and Case Studies PDF Download
Applied Nature-Inspired Computing: Algorithms and Case Studies PDF
By:Nilanjan Dey,Amira S. Ashour,Siddhartha Bhattacharyya
Published on 2019-08-10 by Springer
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.
This Book was ranked at 9 by Google Books for keyword medical computer application algorithm.
Book ID of Applied Nature-Inspired Computing: Algorithms and Case Studies's Books is eY2oDwAAQBAJ, Book which was written byNilanjan Dey,Amira S. Ashour,Siddhartha Bhattacharyyahave ETAG "GlU7vy5RcTg"
Book which was published by Springer since 2019-08-10 have ISBNs, ISBN 13 Code is 9789811392634 and ISBN 10 Code is 9811392633
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Book which have "275 Pages" is Printed at BOOK under CategoryComputers
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