£113.25

Springer - Applications of Bat Algorithm and its Variants

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Description

Explore the power of swarm intelligence with this specialized text from Springer. This book covers the essential concepts of the traditional bat algorithm and its recent variants, providing a deep look into how these methods find optimal solutions for complex challenges. Since its development in 2009, the bat algorithm (BA) has become one of the most successful swarm intelligence procedures. This volume explains why these meta-heuristic algorithms are used so widely today, focusing on their adaptability and robustness when addressing real-world optimization problems. Readers will find practical insights into how these algorithms apply to a variety of engineering and medical problems. Whether you are studying computer science or working in field-specific optimization, this book provides the necessary foundation for understanding how the bat algorithm can be used to tackle diverse and demanding tasks.

Key Features

Covers the core concepts of the traditional bat algorithm and its various recent variants.

Explains the use of swarm intelligence-based meta-heuristic algorithms for modern optimization.

Provides details on how the bat algorithm can solve real-world engineering problems.

Discusses the application of these algorithms within the medical field.

Highlights the adaptability and robustness of the bat algorithm for diverse tasks.

Product Specifications

Format
Paperback
Domain
Amazon UK
Release Date
10 June 2021
Listed Since
14 May 2021

Barcode

No barcode data available

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