Meta-Heuristic Algorithms for Advanced by Rohit Anand (.PDF)+

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Meta-Heuristic Algorithms for Advanced Distributed Systems by Rohit Anand, Abhinav Juneja, Digvijay Pandey
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Overview: 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. Meta-Heuristic Algorithms for Advanced Distributed Systems is ideal for academics and researchers studying distributed systems, their design, and their applications.
Genre: Non-Fiction > Tech & Devices

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