Applied Nature-Inspired Computing: Algorithms and Case Studies

Language: English

Published by Springer, Springer Aug 2019, 2019

9811392625 / 9789811392627

Series: Book 1 of 23 - Springer Tracts in Nature-Inspired Computing

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This item is printed on demand - Print on Demand Titel. Neuware -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.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 288 pp. Englisch.

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Title
Applied Nature-Inspired Computing: Algorithms and Case Studies
Author
Nilanjan Dey
Publisher
Springer, Springer Aug 2019
Publication year
2019
Condition
Neu
Binding
Buch
Language
English
ISBN 10
9811392625
ISBN 13
9789811392627
Item weight
600 grams
Dimensions
241x160x22 mm
Series
Book 1 of 23: Springer Tracts in Nature-Inspired Computing

buchversandmimpf2000

Emtmannsberg, BAYE, Germany

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