Swarm intelligence and bio-inspired computation: theory and applications

Book


Yang, X., Cui, Z., Xiao, R., Gandomi, A. and Karamanoglu, M. (ed.) 2013. Swarm intelligence and bio-inspired computation: theory and applications. Elsevier.
TitleSwarm intelligence and bio-inspired computation: theory and applications
EditorsYang, X., Cui, Z., Xiao, R., Gandomi, A. and Karamanoglu, M.
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.

LanguageEnglish
ISBN
Hardcover9780124051638
PublisherElsevier
Publication dates
PrintMay 2013
Publication process dates
Deposited18 Jun 2013
Output statusPublished
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.

Web address (URL)http://store.elsevier.com/Swarm-Intelligence-and-Bio-Inspired-Computation/isbn-9780124051638/
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