Critical Developments and Applications of Swarm Intelligence

Critical Developments and Applications of Swarm Intelligence

Indexed In: SCOPUS
Release Date: February, 2018|Copyright: © 2018 |Pages: 478
DOI: 10.4018/978-1-5225-5134-8
ISBN13: 9781522551348|ISBN10: 1522551344|EISBN13: 9781522551355
Hardcover:
Available
$235.00
TOTAL SAVINGS: $235.00
Benefits
  • Printed-On-Demand (POD)
  • Usually ships one day from order
Hardcover:
Available
$235.00
TOTAL SAVINGS: $235.00
Benefits
  • Printed-On-Demand (POD)
  • Usually ships one day from order
E-Book:
Available
$235.00
TOTAL SAVINGS: $235.00
Benefits
  • Multi-user license (no added fee)
  • Immediate access after purchase
  • No DRM
  • PDF download
E-Book:
Available
$235.00
TOTAL SAVINGS: $235.00
Benefits
  • Immediate access after purchase
  • No DRM
  • PDF download
  • Receive a 10% Discount on eBooks
Hardcover +
E-Book:
Available
$280.00
TOTAL SAVINGS: $280.00
Benefits
  • Printed-On-Demand (POD)
  • Usually ships one day from order
  • Multi-user license (no added fee)
  • Immediate access after purchase
  • No DRM
  • PDF download
Hardcover +
E-Book:
Available
$280.00
TOTAL SAVINGS: $280.00
Benefits
  • Printed-On-Demand (POD)
  • Usually ships one day from order
  • Immediate access after purchase
  • No DRM
  • PDF download
Article Processing Charge:
Available
$800.00
TOTAL SAVINGS: $800.00
OnDemand:
(Individual Chapters)
Available
$37.50
TOTAL SAVINGS: $37.50
Benefits
  • Purchase individual chapters from this book
  • Immediate PDF download after purchase or access through your personal library
Description & Coverage
Description:

Artificial intelligence is a constantly advancing field that requires models in order to accurately create functional systems. The use of natural acumen to create artificial intelligence creates a field of research in which the natural and the artificial meet in a new and innovative way.

Critical Developments and Applications of Swarm Intelligence is a critical academic publication that examines developing research, technologies, and function regarding natural and artificial acumen specifically, in regards to self-organized systems. Featuring coverage on a broad range of topics such as evolutionary algorithms, optimization techniques, and computational comparison, this book is geared toward academicians, students, researchers, and engineers seeking relevant and current research on the progressive research based on the implementation of swarm intelligence in self-organized systems.

Coverage:

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

  • Agent-Based Approaches
  • Algorithm Based Model
  • Computational Comparison
  • Evolutionary Algorithms
  • Image Perturbation
  • Method Based PSO
  • Optimization Techniques
Table of Contents
Search this Book:
Reset
Editor/Author Biographies

Yuhui Shi received the PhD degree in electronic engineering from Southeast University, Nanjing, China, in 1992. He is a chair professor in the Department of Computer Science and Engineering, Southern University of Science and Technology, Shenzhen, China. Before joining Southern University of Science and Technology, he was with Electronic Data Systems Corporation, Indianapolis, IN. His main research interests include the areas of computational intelligence techniques (including swarm intelligence) and their applications. Dr. Shi is the Editor-in-Chief of the International Journal of Swarm Intelligence Research. (Kuruge Abeyrathna - Contributing Author) Darshana is a PhD research fellow at the University of Agder. He completed his BSc in Mechatronics Engineering at AIT university, Thailand in 2015. Then he directly joined to the Big Data research group at Thammasat University, Thailand for his MSc studies and graduated in 2017. His research interests are in Artificial Neural Networks, Data Mining, Optimization, and Operations Research. Currently, at CAIR, he is working on a project which develops a global grid that facilitates real-time compilation, management, and analysis of spatio-temporal data.

Abstracting & Indexing
Archiving
All of IGI Global's content is archived via the CLOCKSS and LOCKSS initiative. Additionally, all IGI Global published content is available in IGI Global's InfoSci® platform.