Editors:
- Includes supplementary material: sn.pub/extras
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 10196)
Part of the book sub series: Theoretical Computer Science and General Issues (LNTCS)
Conference series link(s): EuroGP: European Conference on Genetic Programming (Part of EvoStar)
Conference proceedings info: EuroGP 2017.
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Table of contents (22 papers)
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Front Matter
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Oral Presentations
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Front Matter
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Posters
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Front Matter
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About this book
The 14 revised full papers presented together with 8 poster papers were carefully reviewed and selected from 32 submissions. The wide range of topics in this volume reflects the current state of research in the field. Thus, we see topics and applications including program synthesis, genetic improvement, grammatical representations, self-adaptation, multi-objective optimisation, program semantics, search landscapes, mathematical programming, games, operations research, networks, evolvable hardware, and program synthesis benchmarks.
Keywords
- artificial intelligence
- evolutionary computation
- machine learning
- mathematical programming
- program synthesis
- benchmarks
- business process
- evolvable hardware
- genetic algorithms
- genetic improvement
- grammars
- heuristic methods
- linear programming
- multi-objective optimisation
- networks
- operations research
- reinforcement learning
- self-adaptation
- semantics
- software engineering
Editors and Affiliations
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University College Dublin , Dublin, Ireland
James McDermott
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Universidade Nova de Lisboa , Lisbon, Portugal
Mauro Castelli
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Brno University of Technology , Brno, Czech Republic
Lukas Sekanina
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Vrije Universiteit Amsterdam , Amsterdam, The Netherlands
Evert Haasdijk
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University of Cádiz , Cádiz, Spain
Pablo García-Sánchez
Bibliographic Information
Book Title: Genetic Programming
Book Subtitle: 20th European Conference, EuroGP 2017, Amsterdam, The Netherlands, April 19-21, 2017, Proceedings
Editors: James McDermott, Mauro Castelli, Lukas Sekanina, Evert Haasdijk, Pablo García-Sánchez
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-319-55696-3
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing AG 2017
Softcover ISBN: 978-3-319-55695-6Published: 15 March 2017
eBook ISBN: 978-3-319-55696-3Published: 14 March 2017
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XII, 359
Number of Illustrations: 116 b/w illustrations
Topics: Algorithm Analysis and Problem Complexity, Computation by Abstract Devices, Artificial Intelligence, Computer Applications, Discrete Mathematics in Computer Science