Swarm Intelligence and Bio-Inspired Computation: Theory and Applications - Brossura

Brossura

ISBN 10: 1493301365 ISBN 13: 9781493301362

Casa editrice: Elsevier, 2016

Riassunto

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.

Su questo libro

Informazioni sull?autore

Xin She Yang is Senior Research Scientist in the Department of Mathematical and Scientific Computing at the National Physical Laboratory in the United Kingdom, Reader in Modeling and Optimization at Middlesex University, UK, and Adjunct Professor at Reykjavik University, Iceland. He is Editor-in-Chief of the International Journal of Mathematical Modelling and Numerical Optimization, a member of both the Society for Industrial and Applied Mathematics and the British Computer Society, a Fellow of The Royal Institution of Great Britain, and editor of seven additional books including Nature-Inspired Optimization Algorithms (Elsevier), Swarm Intelligence and Bio-Inspired Computation (Elsevier).

Dettagli dell?edizione

• Editore: Elsevier
• Data di pubblicazione: 2016
• ISBN 10: 1493301365
• ISBN 13: 9781493301362
• Rilegatura: Copertina flessibile
• Lingua: Inglese
• Numero di pagine: 444
• Redattore: Yang Xin-She
• Contatto del produttore: non disponibile