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Introduction to Evolutionary Computing

Author: A E Eiben; J E Smith
Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 2015.
Series: Natural Computing Series
Edition/Format:   Computer file : English : 2nd ed. 2015View all editions and formats
Summary:

The overall structure of this new edition is three-tier: Part I presents the basics, Part II is concerned with methodological issues, and Part III discusses advanced topics.

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Material Type: Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: A E Eiben; J E Smith
ISBN: 9783662448731 3662448734 9783662448748 3662448742
OCLC Number: 915936726
Description: 1 online resource (XII, 287 p. 67 illus., 12 illus. in color).
Contents: Problems to Be Solved.- Evolutionary Computing: The Origins.- What Is an Evolutionary Algorithm?.- Representation, Mutation, and Recombination.- Fitness, Selection, and Population Management.- Popular Evolutionary Algorithm Variants.- Hybridisation with Other Techniques: Memetic Algorithms.- Nonstationary and Noisy Function Optimisation.- Multiobjective Evolutionary Algorithms.- Constraint Handling.- Interactive Evolutionary Algorithms.- Coevolutionary Systems.- Theory.- Evolutionary Robotics.- Parameters and Parameter Tuning.- Parameter Control.- Working with Evolutionary Algorithms.- References.
Series Title: Natural Computing Series
Responsibility: by A.E. Eiben, J.E. Smith.

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"This book aims to give a thorough introduction to evolutionary computing, covering techniques and methodological issues. ... the book does a good job of giving a general overview of the field. It Read more...

 
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