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Introduction to evolutionary computing [electronic resource] / A.E. Eiben, J.E. Smith.

Second edition.

9783662448748 (electronic book)
3662448742 (electronic book)
9783662448731

Berlin : Springer, 2015.

English

1 online resource (xi, 287 pages) : illustrations.

10.1007/978-3-662-44874-8 doi

QA76.618 .E43 2015eb

006.3/823

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. In the second edition the authors have reorganized the material to focus on problems, how to represent them, and then how to choose and design algorithms for different representations. They also added a chapter on problems, reflecting the overall book focus on problem-solvers, a chapter on parameter tuning, which they combined with the parameter control and "how-to" chapters into a methodological part, and finally a chapter on evolutionary robotics with an outlook on possible exciting developments in this field. The book is suitable for undergraduate and graduate courses in artificial intelligence and computational intelligence, and for self-study by practitioners and researchers engaged with all aspects of bioinspired design and optimization.

Includes bibliographical references and index.

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Online resource; title from PDF title page (SpringerLink, viewed July 6, 2015).

Natural computing series.

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