Название: Meta-Heuristic Algorithms for Advanced Distributed SystemsАвтор: Rohit Anand, Abhinav Juneja, Digvijay Pandey
Издательство: Wiley
Год: 2024
Страниц: 460
Язык: английский
Формат: pdf (true), epub
Размер: 14.0 MB
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.
Recent research on using Machine Learning (ML) to find effective, profitable, and adaptive metaheuristics has grown. Many stochastic and metaheuristic algorithms have delivered high-quality results and are cutting-edge optimization strategies. This study lacks a comprehensive survey and classification, despite many methods. This study examines numerous machine learning-metaheuristics combinations. It applies synergy to the many ways to achieve this goal. Search component-specific taxonomies are supplied. This taxonomy covers the optimization problem, minimal metaheuristics, and raised components. We also want optimization scholars to use Machine Learning techniques in metaheuristics.
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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