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Springer Introduction to Evolutionary Algorithms Textbook

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Description

Explore the fundamentals of evolutionary algorithms with this comprehensive guide from Springer. Part of the Decision Engineering series, this book provides an up-to-date treatment of topics that are increasingly relevant to fields like computer science, operations research, industrial engineering, and economics. Readers gain a deep understanding of genetic algorithms, differential evolution, swarm intelligence, and artificial immune systems. By demonstrating how to model various scenarios, the text connects theoretical concepts to real-world applications across social sciences, electrical engineering, and more. This resource serves as an insightful foundation for anyone studying advanced computational methods and decision engineering.

Key Features

This Springer publication provides an up-to-date treatment of evolutionary algorithms for various academic disciplines.

The text covers essential topics including genetic algorithms and differential evolution.

Readers can study advanced concepts such as swarm intelligence and artificial immune systems.

The book demonstrates how to model applications across computer science, engineering, and economics.

This Decision Engineering resource is designed for use in operations research and social science studies.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
05 September 2012
Listed Since
13 July 2012

Barcode

No barcode data available

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