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.

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Yes, you can access Meta-Heuristic Algorithms for Advanced Distributed Systems by Rohit Anand,Abhinav Juneja,Digvijay Pandey,Sapna Juneja,Nidhi Sindhwani in PDF and/or ePUB format, as well as other popular books in Computer Science & Systems Architecture. We have over one million books available in our catalogue for you to explore.

Information

Publisher

Year

Print ISBN

eBook ISBN

Edition

Topic

Computer Science

Subtopic

Systems Architecture

Index

Computer Science

Cover
Title Page
Copyright Page
Contents
About the Book
About the Editors
List of Contributors
Preface
1 The Future of Business Management with the Power of Distributed Systems and Computing
2 Applications of Optimized Distributed Systems in Healthcare
3 The Impact of Distributed Computing on Data Analytics and Business Insights
4 Machine Learning and Its Application in Educational Area
5 Approaches and Methodologies for Distributed Systems: Threats, Challenges, and Future Directions
6 Efficient-driven Approaches Related to Meta-Heuristic Algorithms using Machine Learning Techniques
7 Security and Privacy Issues in Distributed Healthcare Systems – A Survey
8 Implementation and Analysis of the Proposed Model in a Distributed e-Healthcare System
9 Leveraging Distributed Systems for Improved Educational Planning and Resource Allocation
10 Advances in Education Policy Through the Integration of Distributed Computing Approaches
11 Revolutionizing Data Management and Security with the Power of Blockchain and Distributed System
12 Enhancing Business Development, Ethics, and Governance with the Adoption of Distributed Systems
13 Leveraging Distribution Systems for Advanced Fraud Detection and Prevention in Finance
14 Advances in E-commerce Through the Integration of Distributed Computing Approaches
15 The Impact of Distributed Computing on Online Shopping and Consumer Experience
16 Wireless Sensor-based IoT System with Distributed Optimization for Healthcare
17 Optimizing Financial Transactions and Processes Through the Power of Distributed Systems
18 Leveraging Distributed Systems for Improved Market Intelligence and Customer Segmentation
19 The Future of Financial Crime Prevention and Cybersecurity with Distributed Systems and Computing Approaches
20 Innovations in Distributed Computing for Enhanced Risk Management in Finance
21 Leveraging Blockchain and Distributed Systems for Improved Supply Chain Traceability and Transparency
22 Advances in Resource Management Through the Integration of Distributed Computing Approaches
Index
EULA

About this book

Frequently asked questions

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Table of contents