Swarm Intelligence and Bio-Inspired Computation (ePub)

Name: Swarm Intelligence and Bio-Inspired Computation
Brand: Elsevier Science & Techn.
SKU: 52371994
Price: 97.70 EUR
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Theory and Applications (Sprache: Englisch)

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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.

Focuses on the introduction and analysis of key algorithms
Includes case studies for real-world applications
Contains a balance of theory and applications, so readers who are interested in either algorithm or applications will all benefit from this timely book.

Autoren-Porträt

Xin-She Yang obtained his DPhil in Applied Mathematics from the University of Oxford. He then worked at Cambridge University and National Physical Laboratory (UK) as a Senior Research Scientist. He is currently a Reader at Middlesex University London, Adjunct Professor at Reykjavik University (Iceland) and Guest Professor at Xi’an Polytechnic University (China). He is an elected Bye-Fellow at Downing College, Cambridge University. He is also the IEEE CIS Chair for the Task Force on Business Intelligence and Knowledge Management, and the Editor-in-Chief of International Journal of Mathematical Modelling and Numerical Optimisation (IJMMNO).

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Bibliographische Angaben

2013, 450 Seiten, Englisch
Herausgegeben: Xin-She Yang, Zhihua Cui, Renbin Xiao, Amir Hossein Gandomi, Mehmet Karamanoglu
Verlag: Elsevier Science & Techn.
ISBN-10: 0124051774
ISBN-13: 9780124051775
Erscheinungsdatum: 16.05.2013

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Dateiformat: ePub
Größe: 6.72 MB
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Englisch

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Pressezitat

"Civil and other engineers, mathematicians, computer scientists, and other contributors summarize the current status of biologically inspired computation and swarm intelligence, looking at both fundamentals and applications of algorithms based on swarm intelligence and other biological systems."--Reference and Research Book News, August 2013

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