
Nature-Inspired Optimization Algorithms for Cyber-Physical Systems
Engineering Science Reference (Publisher)
Published on 6. December 2024
Book
Paperback/Softback
506 pages
979-8-3693-6835-0 (ISBN)
Description
Cyber-physical systems (CPS) integrate computation, communication, control, and physical elements to achieve shared goals with minimal human intervention, encompassing smart technologies such as cities, cloud computing, and smart grids. As CPS components expand, generating vast amounts of data, they face challenges in areas like resource management, security, computation offloading, and automation, demanding advanced techniques beyond traditional algorithms. Nature-inspired optimization algorithms, drawing on natural phenomena, offer scalable and adaptable solutions for these complex issues, making them essential for addressing CPS challenges efficiently and enhancing their role in our daily lives. Nature-Inspired Optimization Algorithms for Cyber-Physical Systems provides relevant theoretical frameworks and the latest empirical research findings in the area. It explores the nature-inspired optimization algorithms intended to boost the performance of CPS. Covering topics such as ant colony optimization, data analysis, and smart cities, this book is an excellent resource for teaching staff, researchers, academicians, graduate and postgraduate students, and more.
More details
Language
English
Place of publication
Hershey, PA
United States
Publishing group
IGI Global
Target group
College/higher education
Professional and scholarly
Dimensions
Height: 254 mm
Width: 178 mm
Thickness: 27 mm
Weight
942 gr
ISBN-13
979-8-3693-6835-0 (9798369368350)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions

Mohammad Sajid | Mohammad Shahid | Maria Lapina
Nature-Inspired Optimization Algorithms for Cyber-Physical Systems
Book
12/2024
IGI Global
€359.80
Shipment within 10-20 days