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Springer Evolutionary Computation in Dynamic Environments Book

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Description

Explore advanced problem optimization with Evolutionary Computation in Dynamic and Uncertain Environments, part of the Studies in Computational Intelligence series by Springer. This volume examines evolutionary algorithms (EAs) inspired by the natural evolution of species through selection and variation. As a class of stochastic optimization techniques, EAs are designed to handle complex, real-world problems that often challenge classical optimization methods. This text provides essential insights for the computer science and artificial intelligence communities, focusing on how these methodologies function within changing and unpredictable environments. It serves as a technical resource for understanding the fundamental principles of EAs and their application in modern computational intelligence.

Key Features

Published by Springer as part of the Studies in Computational Intelligence series (Volume 51).

Covers evolutionary computation methodologies inspired by the natural evolution of species.

Focuses on evolutionary algorithms (EAs) utilizing selection and variation principles.

Explores stochastic optimization techniques designed for difficult real-world problems.

Provides technical content relevant to the computer science and artificial intelligence communities.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
07 March 2007
Listed Since
16 February 2007

Barcode

No barcode data available

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