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Springer Stochastic Global Optimization and Fuzzy Adaptive SA

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Description

Explore advanced algorithmic problem-solving with Stochastic Global Optimization and Its Applications with Fuzzy Adaptive Simulated Annealing. This volume, part of the Intelligent Systems Reference Library (Volume 35), provides a deep look into a mature and successful algorithm used to solve difficult problems across various fields. This book is designed for those looking to understand how stochastic global optimization serves as a highly effective tool in science and technology. By examining the latest research and practical applications, readers gain insight into how these techniques can be applied to real-world challenges. Contributions from leading experts ensure that the content remains at the forefront of current research, offering detailed examples that bridge the gap between theory and implementation. Whether you are working in computer science, AI, or machine learning, this text offers the necessary foundation to utilize these optimization methods effectively in your own technical research or professional projects.

Key Features

Covers the latest research in stochastic global optimization and its diverse applications in science and technology.

Includes detailed examples provided by leading experts to demonstrate practical use in complex problem-solving.

Part of the Intelligent Systems Reference Library, volume 35, providing a specialized academic foundation.

Explores the use of Fuzzy Adaptive Simulated Annealing as a mature and effective algorithmic tool.

Provides technical insights suitable for professionals and students in AI, machine learning, and computer science.

Product Specifications

Format
paperback
Domain
Amazon UK
Publication Date
22 February 2014
Listed Since
13 February 2014

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