Springer Tracts in Nature-Inspired Computing

Dey, Nilanjan; Ashour, Amira S.; Bhattacharyya, Siddhartha

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.

Details

Published by: Springer

Publication Date: 2019-08-24

Format: Hardcover

ISBN-13: 9789811392627

DOI: 10.1007/978-981-13-9263-4

Dimensions: 235cm x155cm

Pages: 275