Overview
- Explains basic ideas behind several kinds of ant colony optimization
- Presents latest applications of ant colony optimization
- Serves as a reference guide for researchers and practitioners in academia and industry
Part of the book series: Springer Tracts in Nature-Inspired Computing (STNIC)
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Table of contents (11 chapters)
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Front Matter
Keywords
About this book
This book explains the basic ideas behind several variants of ant colony optimization (ACO) and shows how they may be used in real-world settings like manufacturing, engineering design, and health care. Marco Dorigo proposed ACO for the first time, and it has been used to solve a variety of optimization problems. This book presents the latest developments of ACO.
Editors and Affiliations
About the editor
Nilanjan Dey is an Associate Professor in the Department of Computer Science and Engineering, Techno International New Town, Kolkata, India. He is a visiting fellow of the University of Reading, UK. He also holds a position of Adjunct Professor at Ton Duc Thang University, Ho Chi Minh City, Vietnam. Previously, he held an honorary position of Visiting Scientist at Global Biomedical Technologies Inc., CA, USA (2012–2015). He was awarded his PhD from Jadavpur University in 2015. He is the Editor-in-Chief of the International Journal of Ambient Computing and Intelligence , IGI Global, USA. He is the Series Co-Editor of Springer Tracts in Nature-Inspired Computing (SpringerNature), Data-Intensive Research (SpringerNature), Advances in Ubiquitous Sensing Applications for Healthcare (Elsevier). He is an associate editor of IET Image Processing and editorial board member of Complex & Intelligent Systems, Springer Nature, Applied Soft Computing, Elsevier etc. He is having 35 authored booksand over 300 publications in the area of medical imaging, machine learning, computer aided diagnosis, data mining, etc. He is the Fellow of IETE and Senior member of IEEE.
Bibliographic Information
Book Title: Applications of Ant Colony Optimization and its Variants
Book Subtitle: Case Studies and New Developments
Editors: Nilanjan Dey
Series Title: Springer Tracts in Nature-Inspired Computing
DOI: https://doi.org/10.1007/978-981-99-7227-2
Publisher: Springer Singapore
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024
Hardcover ISBN: 978-981-99-7226-5Published: 16 February 2024
Softcover ISBN: 978-981-99-7229-6Due: 18 March 2024
eBook ISBN: 978-981-99-7227-2Published: 15 February 2024
Series ISSN: 2524-552X
Series E-ISSN: 2524-5538
Edition Number: 1
Number of Pages: IX, 229
Number of Illustrations: 19 b/w illustrations, 68 illustrations in colour
Topics: Computational Intelligence, Optimization, Artificial Intelligence