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Springer - Stochastic Global Optimization and Fuzzy ASA Book

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Description

Stochastic global optimization serves as a vital subject across nearly all sectors of science and technology. This volume from the Intelligent Systems Reference Library provides a deep look into successful and mature algorithms designed to solve complex problems. Readers will explore various techniques for addressing difficult challenges using Adaptive Simulated Annealing (ASA) and its advanced version, Fuzzy Adaptive Simulated Annealing (Fuzzy ASA). By utilizing a fuzzy-controlled version of ASA, this book offers a sophisticated approach to global optimization. It is an essential resource for those studying intelligent systems and looking for effective tools to handle optimization tasks in modern computing and machine learning environments.

Key Features

Explores Stochastic Global Optimization techniques that apply to many areas of science and technology.

Covers the Fuzzy Adaptive Simulated Annealing (Fuzzy ASA) method, a fuzzy-controlled version of ASA.

Provides detailed information on the ASA algorithm, a sophisticated tool for global optimization.

Part of the Intelligent Systems Reference Library, volume 35, for specialized academic study.

Offers practical methods for solving difficult problems through mature and successful algorithms.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
27 January 2012
Listed Since
24 November 2011

Barcode

No barcode data available

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