Swarm intelligence and bio-inspired computation: theory and applications

Yang, Xin-She, Cui, Zhihua, Xiao, Renbin, Gandomi, Amir Hossein and Karamanoglu, Mehmet, eds. (2013) Swarm intelligence and bio-inspired computation: theory and applications. Elsevier. ISBN 9780124051638

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Abstract

Swarm intelligence and bio-inspired computation have become increasing popular in the last two decades. Bio-inspired algorithms such as ant colony algorithms, bat algorithms, bee algorithms, firefly algorithms, cuckoo search and particle swarm optimization have been applied in almost every area of science and engineering with a dramatic increase of number of relevant publications. This book reviews the latest developments in swarm intelligence and bio-inspired computation from both the theory and application side, providing a complete resource that analyzes and discusses the latest and future trends in research directions. It can help new researchers to carry out timely research and inspire readers to develop new algorithms. With its impressive breadth and depth, this book will be useful for advanced undergraduate students, PhD students and lecturers in computer science, engineering and science as well as researchers and engineers.

Item Type: Book
Additional Information: Chapter in this book contributed by Xin-She Yang and Mehmet Karamanoglu: Swarm intelligence and bio-inspired computation: an overview, p 3-23.
Research Areas: A. > School of Science and Technology > Computer Science
A. > School of Science and Technology > Design Engineering and Mathematics
Item ID: 10811
Useful Links:
Depositing User: Mehmet Karamanoglu
Date Deposited: 18 Jun 2013 06:24
Last Modified: 13 Oct 2016 14:27
URI: https://eprints.mdx.ac.uk/id/eprint/10811

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