Meta-heuristic algorithms for advanced distributed systems / edited by Rohit Anand, Abhinav Juneja, Digvijay Pandey, Sapna Juneja, Nidhi Sindhwani

Published: Hoboken, New Jersey : Wiley, 2024.
Physical Description: 1 online resource
Additional Creators: Anand, Rohit, Juneja, Abhinav, Pandey, Digvijay, Juneja, Sapna, and Sindhwani, Nidhi

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Contents

The future of business management with the power of distributed systems and computing -- Applications of optimised distributed systems in healthcare -- The impact of distributed computing on data analytics and business insights -- Machine learning and its application in educational area -- Approaches and methodologies for the distributed systems: threats, challenges, and future directions -- Efficient driven approaches related to meta-heuristic algorithms using machine learning techniques -- Security and privacy issues in distributed healthcare system- a survey -- Implementation and analysis of proposed model in a distributed e-healthcare system -- Implementation and analysis of proposed model in a distributed e-healthcare system -- Advances in education policy through the integration of distributed computing approaches -- Revolutionizing data management and security with the power of blockchain and distributed system -- Enhancing business development, ethics, and governance with the adoption of distributed systems -- Leveraging distribution systems for advanced fraud detection and prevention in finance -- Advances in e-commerce through the integration of distributed computing approaches -- The impact of distributed computing on online shopping and consumer experience -- Wireless sensor based iot system with distributed optimization for healthcare -- Optimizing financial transactions and processes through the power of distributed systems -- Leveraging distributed systems for improved market intelligence and customer segmentation -- The future of financial crime prevention and cybersecurity with distributed systems and computing approaches -- Innovations in distributed computing for enhanced risk management in finance -- Leveraging blockchain and distributed systems for improved supply chain traceability and transparency -- Advances in resource management through the integration of distributed computing approaches.

Summary

"The meta-heuristic techniques may be applied to optimize distributed systems so as to increase effectiveness and minimize cost and time. Various kinds of meta-heuristic techniques are derived from nature and hence a lot of development is going on in this field. The most common meta-heuristic techniques used for the optimization of distributed system are Genetic Algorithm, Particle Swarm Optimization, Cuckoo Algorithm, Harmony Search Algorithm, Bat Algorithm, and Simulated Annealing. Further, two or more of these optimization techniques may be hybridized to further increase the efficiency of distributed computing systems"--

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ISBN

9781394188086 (epub)
1394188080
9781394188079 (adobe pdf)
1394188072
9781394188062 (hardback)
9781394188093 electronic book
1394188099 electronic book
1394188064 hardcover

Bibliography Note

Includes bibliographical references.

View MARC record | catkey: 44281173