Applications of Ant Colony Optimization and its Variants (eBook, PDF)

Case Studies and New Developments
Redaktion: Dey, Nilanjan

• Format: PDF

Produktbeschreibung

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.

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Produktdetails

• Verlag: Springer Nature Singapore
• Seitenzahl: 229
• Erscheinungstermin: 15. Februar 2024
• Englisch
• ISBN-13: 9789819972272
• Artikelnr.: 69995859

Autorenporträt

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.

Inhaltsangabe

Ant Colony Optimization.- Advancements in Rank-based Ant System.- Exploring Ant Colony Optimization for Feature Selection: A Comprehensive Review.- Diagnosis Support for Diabetes with Ant Colony Optimization.- Opposed Pheromones Ant Colony Optimization for Property Identification of Nonlinear Structures.