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Cited by 4,176

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Introduction to Evolutionary Computing

Open access
Eiben, A. E., Smith, J. E.·2003·Natural Computing Series
DOI 10.1007/978-3-662-05094-1
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Abstract

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.

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Metadata

Authors
Eiben, A. E., & Smith, J. E.
Venue
Natural Computing Series
Publisher
Springer Berlin Heidelberg
Published
2003
ISSN
1619-7127 (ISSN-L)
DOI
10.1007/978-3-662-05094-1
OpenAlex
W1512383952
Cited by
4,176
References
0
FWCI
29.61
Type
book
Language
en
Open access
green

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CoChat. (2026). Citation check: Introduction to Evolutionary Computing. https://app.cochat.ai/papers/10.1007/978-3-662-05094-1
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Eiben, A. E., & Smith, J. E. (2003). Introduction to Evolutionary Computing. Natural Computing Series. https://doi.org/10.1007/978-3-662-05094-1

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.