Application Of Nature Based Algorithm In Natural Resource Management
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Application of Nature Based Algorithm in Natural Resource Management
Author: Mrinmoy Majumder
language: en
Publisher: Springer Science & Business Media
Release Date: 2013-05-23
This book highlights the application of nature-based algorithms in natural resource management. The book includes the methodologies to apply what natural flora or fauna do to optimize their survival. The same technique was used to optimize renewable energy generation from water resources, maximization of profit from crop harvesting, forest resource management and decision-making studies. These studies can be used as an example for finding solutions of the other maximization or minimization problems which are common in natural resource management.
Innovation and Emerging Trends in Computing and Information Technologies
This book constitutes the proceedings of the First International Conference on Innovation and Emerging Trends in Computing and Information Technologies, IETCIT 2024, held in Mohali, India, in March 1–2, 2024. The 44 full papers presented in these two volumes were carefully reviewed and selected from 417 submissions. The papers are organized in the following topical sections: Part I: machine learning and deep learning; pattern and speech recognition; internet of things (IoT). Part II: data science and data analytics; communication, network and security.
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 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.