Emerging Research on Swarm Intelligence and Algorithm Optimization
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Emerging Research on Swarm Intelligence and Algorithm Optimization

Yuhui Shi (Southern University of Science and Technology (SUSTech), China)
Indexed In: INSPEC, SCOPUS View 2 More Indices
Release Date: July, 2014|Copyright: © 2015 |Pages: 341
ISBN13: 9781466663282|ISBN10: 1466663286|EISBN13: 9781466663299|DOI: 10.4018/978-1-4666-6328-2


Throughout time, scientists have looked to nature in order to understand and model solutions for complex real-world problems. In particular, the study of self-organizing entities, such as social insect populations, presents a new opportunity within the field of artificial intelligence.

Emerging Research on Swarm Intelligence and Algorithm Optimization discusses current research analyzing how the collective behavior of decentralized systems in the natural world can be applied to intelligent system design. Discussing the application of swarm principles, optimization techniques, and key algorithms being used in the field, this publication serves as an essential reference for academicians, upper-level students, IT developers, and IT theorists.

Topics Covered

The many academic areas covered in this publication include, but are not limited to:

  • Ant colony optimization
  • Collective Biological Systems
  • Computational Intelligence
  • Differential Evolution
  • Particle Swarm Optimization
  • Scheduling
  • Swarm Robotics

Reviews and Testimonials

This book is a collection of papers published between 2011 and 2012 analyzing how the behavior of complex natural decentralized collective systems, such as an ant colony, can be applied to artificial intelligence algorithms. As digital matrices become more and more complex, researchers are looking to these swarm intelligences to model new systems. Intended for graduate students and swarm intelligence researchers, this book looks at examples of artificial swarm intelligences and explores how these artificial swarm algorithms can be used for such things as wireless sensor routing, recommendation of web pages, robotic team organization, and image selection applications.

– ProtoView Book Abstracts (formerly Book News, Inc.)

Table of Contents and List of Contributors

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Author(s)/Editor(s) Biography

Yuhui Shi is a Chair Professor in the Department of Computer Science and Engineering at the Southern University of Science and Technology (SUSTech), Shenzhen, China. Dr. Shi was a Professor in the Department of Electrical and Electronic Engineering at the Xi’an Jiaotong-Liverpool University (XJTLU), Suzhou, China, from January 2008 to August 2016, and was with the Electronic Data Systems Corporation (EDS), Indiana, USA, from October 1998 to December 2007. He is an IEEE Fellow, the Editor-in-Chief of the International Journal of Swarm Intelligence Research, and an Associate Editor of the IEEE Transactions on Evolutionary Computation. Dr. Shi coauthored a book on Swarm Intelligence together with Dr. James Kennedy and Dr. Russell C. Eberhart, and another book on Computational Intelligence: Concept to Implementation together with Dr. Russell C. Eberhart.