Swarm Intelligence and Bio-Inspired Computation: Theory and Applications

ISBN 10: 1493301365 / ISBN 13: 9781493301362

Verlag: Elsevier, 2013

Beschreibung

New. Bestandsnummer des Verkäufers D8S0-3-M-1493301365-6

Bibliografische Details

Titel: Swarm Intelligence and Bio-Inspired ...

Verlag: Elsevier

Erscheinungsdatum: 2013

Einband: paperback

Zustand: New

Art des Buches: book

Über diesen Titel

Inhaltsangabe:

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.

Über die Autorin bzw. den Autor:

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).