£110.73

Springer Computational Intelligence in Reliability Engineering

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Description

Explore the intersection of advanced computing and engineering with this specialized volume from Springer. Part of the Studies in Computational Intelligence series, this book provides a comprehensive look at how computational intelligence techniques are applied to modern reliability engineering problems. Readers will find a detailed survey of recent contributions to the field of optimal reliability design literature. The text covers specific applications of genetic algorithms within reliability engineering, including how these algorithms can be combined with other computational intelligence methods to solve complex problems. This volume is particularly valuable for those looking to understand metaheuristic approaches in multiobjective reliability optimization. It serves as a foundational resource for understanding how evolutionary techniques can improve reliability analysis and optimization processes in technical environments.

Key Features

Covers recent applications of computational intelligence techniques within the field of reliability engineering.

Includes a detailed survey of recent contributions to optimal reliability design literature.

Provides specialized chapters on the use of genetic algorithms in reliability engineering applications.

Explores combinations of genetic algorithms with various other computational intelligence techniques.

Addresses metaheuristic approaches specifically for multiobjective reliability optimization.

Part of the recognized Studies in Computational Intelligence series (Volume 39) from Springer.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
19 November 2010
Listed Since
14 June 2010

Barcode

No barcode data available

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