Can I read Applied Nature-inspired Computing : Algorithms and Case Studies on EtoBox?

Applied Nature-inspired Computing : Algorithms and Case Studies by Nilanjan Dey; Amira S Ashour; Siddhartha Bhattacharyya; SpringerLink (Online service) is a nonfiction available to read on EtoBox.

What is Applied Nature-inspired Computing : Algorithms and Case Studies about?

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.

Who reads Applied Nature-inspired Computing : Algorithms and Case Studies?

Author

Nilanjan Dey; Amira S Ashour; Siddhartha Bhattacharyya; SpringerLink (Online service)

Publisher

Springer Singapore : Imprint: Springer

Published

2020

Language

EN

ISBN

9789811392627

Category

nonfiction

Subjects

Engineering, Mathematics, Computer Science