Nature-inspired optimization algorithms for cyber-physical systems

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...

Полное описание

Сохранить в:

Библиографические подробности
Главные авторы:	Lapina, M. A., Лапина, М. А., Babenko, M. G., Бабенко, М. Г.
Формат:	Статья
Язык:	English
Опубликовано:	IGI Global 2025
Темы:	Cyber-physical systems CPS
Online-ссылка:	https://dspace.ncfu.ru/handle/123456789/30350
Метки:	Добавить метку Нет меток, Требуется 1-ая метка записи!

id	ir-123456789-30350
record_format	dspace
spelling	ir-123456789-303502025-04-02T08:22:43Z Nature-inspired optimization algorithms for cyber-physical systems Lapina, M. A. Лапина, М. А. Babenko, M. G. Бабенко, М. Г. Cyber-physical systems CPS 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. 2025-04-02T08:21:23Z 2025-04-02T08:21:23Z 2024 Статья Sajid M., Shahid M., Lapina M., Babenko M., Singh J. Nature-inspired optimization algorithms for cyber-physical systems // Nature-Inspired Optimization Algorithms for Cyber-Physical Systems. - 2024. - pp. 1 – 485. - DOI: 10.4018/979-8-3693-6834-3 https://dspace.ncfu.ru/handle/123456789/30350 en Nature-Inspired Optimization Algorithms for Cyber-Physical Systems application/pdf IGI Global
institution	СКФУ
collection	Репозиторий
language	English
topic	Cyber-physical systems CPS
spellingShingle	Cyber-physical systems CPS Lapina, M. A. Лапина, М. А. Babenko, M. G. Бабенко, М. Г. Nature-inspired optimization algorithms for cyber-physical systems
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.
format	Статья
author	Lapina, M. A. Лапина, М. А. Babenko, M. G. Бабенко, М. Г.
author_facet	Lapina, M. A. Лапина, М. А. Babenko, M. G. Бабенко, М. Г.
author_sort	Lapina, M. A.
title	Nature-inspired optimization algorithms for cyber-physical systems
title_short	Nature-inspired optimization algorithms for cyber-physical systems
title_full	Nature-inspired optimization algorithms for cyber-physical systems
title_fullStr	Nature-inspired optimization algorithms for cyber-physical systems
title_full_unstemmed	Nature-inspired optimization algorithms for cyber-physical systems
title_sort	nature-inspired optimization algorithms for cyber-physical systems
publisher	IGI Global
publishDate	2025
url	https://dspace.ncfu.ru/handle/123456789/30350
work_keys_str_mv	AT lapinama natureinspiredoptimizationalgorithmsforcyberphysicalsystems AT lapinama natureinspiredoptimizationalgorithmsforcyberphysicalsystems AT babenkomg natureinspiredoptimizationalgorithmsforcyberphysicalsystems AT babenkomg natureinspiredoptimizationalgorithmsforcyberphysicalsystems
_version_	1842245909773025280

Nature-inspired optimization algorithms for cyber-physical systems

Схожие документы