Meta-Heuristic Algorithms for Advanced Distributed Systems - Tapa dura

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Rohit Anand, PhD, is an Assistant Professor in the Department of Electronics and Communication Engineering at G. B. Pant DSEU Okhla-1 Campus (formerly G. B. Pant Engineering College), Government of NCT of Delhi, New Delhi, India. He has more than 21 years of teaching experience. He is a Life Member of the Indian Society for Technical Education (ISTE) and holds 4 patents.

Abhinav Juneja, PhD, is a Professor at the KIET Group of Institutions, Ghaziabad, India. He has also worked as Associate Director and Professor at BMIET, Sonepat, India. He has more than 20 years of teaching experience.

Digvijay Pandey, PhD, works in the Department of Technical Education, Kanpur, Government of Uttar Pradesh, India. He has more than 12 years of experience in the fields of industry and teaching. He holds 5 patents.

Sapna Juneja, PhD, is a Professor in the KIET Group of Institutions, Ghaziabad, India. She has more than 17 years of teaching experience.

Nidhi Sindhwani, PhD, is an Assistant Professor in Amity Institute of Information Technology, Amity University, Noida, India. She has more than 17 years of teaching experience. She is a Life Member of the ISTE and a Member of IEEE. She holds 4 patents.

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Discover a collection of meta-heuristic algorithms for distributed systems in different application domains

Meta-heuristic techniques are increasingly gaining favor as tools for optimizing distributed systems—generally, to enhance the utility and precision of database searches. Carefully applied, they can increase system effectiveness, streamline operations, and reduce cost. Since many of these techniques are derived from nature, they offer considerable scope for research and development, with the result that this field is growing rapidly.

Meta-Heuristic Algorithms for Advanced Distributed Systems offers an overview of these techniques and their applications in various distributed systems. With strategies based on both global and local searching, it covers a wide range of key topics related to meta-heuristic algorithms. Those interested in the latest developments in distributed systems will find this book indispensable.

Meta-Heuristic Algorithms for Advanced Distributed Systems readers will also find:

• Analysis of security issues, distributed system design, stochastic optimization techniques, and more
• Detailed discussion of meta-heuristic techniques such as the genetic algorithm, particle swam optimization, and many others
• Applications of optimized distribution systems in healthcare and other key??industries

Meta-Heuristic Algorithms for Advanced Distributed Systems is ideal for academics and researchers studying distributed systems, their design, and their applications.