Overview
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 11451)
Part of the book sub series: Theoretical Computer Science and General Issues (LNTCS)
Included in the following conference series:
Conference proceedings info: EuroGP 2019.
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About this book
This book constitutes the refereed proceedings of the 22nd European Conference on Genetic Programming, EuroGP 2019, held as part of Evo* 2019, in Leipzig, Germany, in April 2019, co-located with the Evo* events EvoCOP, EvoMUSART, and EvoApplications.
The 12 revised full papers and 6 short papers presented in this volume were carefully reviewed and selected from 36 submissions. They cover a wide range of topics and reflect the current state of research in the field. With a special focus on real-world applications in 2019, the papers are devoted to topics such as the test data design in software engineering, fault detection and classification of induction motors, digital circuit design, mosquito abundance prediction, machine learning and cryptographic function design.
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Keywords
- artificial intelligence
- Boolean function
- Cartesian genetic programming
- cryptography
- data mining
- evolutionary algorithms
- feature selection
- genetic algorithms
- genetic programming
- grammatical evolution
- graph theory
- knowledge acquisition
- knowledge discovery
- knowledge-based system
- linear genetic programming
- pattern recognition
- software engineering
- symbolic regression
- algorithm analysis and problem complexity
- data structures
Table of contents (18 papers)
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Front Matter
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Long Presentations
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Front Matter
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Short Presentations
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Front Matter
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Other volumes
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Genetic Programming
Editors and Affiliations
Bibliographic Information
Book Title: Genetic Programming
Book Subtitle: 22nd European Conference, EuroGP 2019, Held as Part of EvoStar 2019, Leipzig, Germany, April 24–26, 2019, Proceedings
Editors: Lukas Sekanina, Ting Hu, Nuno Lourenço, Hendrik Richter, Pablo García-Sánchez
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-030-16670-0
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Switzerland AG 2019
Softcover ISBN: 978-3-030-16669-4Published: 27 March 2019
eBook ISBN: 978-3-030-16670-0Published: 10 April 2019
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XII, 295
Number of Illustrations: 79 b/w illustrations, 51 illustrations in colour
Topics: Algorithm Analysis and Problem Complexity, Artificial Intelligence, Data Mining and Knowledge Discovery, Discrete Mathematics in Computer Science, Data Structures, Pattern Recognition