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Springer Stochastic Global Optimization with Fuzzy Adaptive Simulated Annealing

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Description

This comprehensive volume from Springer examines stochastic global optimization, a highly effective algorithmic problem-solving technique with applications across science and technology. Part of the Intelligent Systems Reference Library series (Volume 35), the book features contributions from leading experts who present the latest research and detailed practical examples of implementing fuzzy adaptive simulated annealing. The technique has proven to be a mature and successful tool for solving difficult optimization problems across virtually all scientific and technical domains. Whether you work in engineering, mathematics, computer science, or applied research, this book provides the theoretical foundations and real-world applications needed to understand and deploy these powerful optimization methods in your own projects.

Key Features

Springer publication covering stochastic global optimization techniques with proven algorithmic problem-solving applications.

Features contributions from leading experts with detailed examples demonstrating fuzzy adaptive simulated annealing implementation.

Volume 35 in the Intelligent Systems Reference Library series, providing structured coverage of AI and machine learning optimization.

Addresses applications across science and technology domains, from engineering to research and computational problem-solving.

Comprehensive resource for understanding mature algorithmic approaches to difficult global optimization challenges.

Product Specifications

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

Barcode

No barcode data available

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