Overview
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 12052)
Part of the book sub series: Theoretical Computer Science and General Issues (LNTCS)
Included in the following conference series:
Conference proceedings info: EA 2019.
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About this book
This book constitutes the thoroughly refereed post-conference proceedings of the 14th International Conference on Artificial Evolution, EA 2019, held in Mulhouse, France, in October 2019.
The 16 revised papers were carefully reviewed and selected from 33 submissions. The papers cover a wide range of topics in the field of artificial evolution, such as evolutionary computation, evolutionary optimization, co-evolution, artificial life, population dynamics, theory, algorithmic and modeling, implementations, application of evolutionary paradigms to the real world (industry, biosciences...), other biologically-inspired paradigms (swarm, artificial ants, artificial immune systems, cultural algorithms...), memetic algorithms, multi-objective optimization, constraint handling, parallel algorithms, dynamic optimization, machine learning and hybridization with other soft computing techniques.
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Keywords
- artificial intelligence
- bandwidth
- combinatorial optimization
- computer hardware
- computer networks
- computer systems
- correlation analysis
- evolutionary algorithms
- genetic algorithms
- network protocols
- optimization problems
- particle swarm optimization (pso)
- sensors
- signal processing
- swarm intelligence
- telecommunication networks
- telecommunication systems
- telecommunication traffic
- algorithm analysis and problem complexity
Table of contents (16 papers)
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Front Matter
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Back Matter
Other volumes
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Artificial Evolution
Editors and Affiliations
Bibliographic Information
Book Title: Artificial Evolution
Book Subtitle: 14th International Conference, Évolution Artificielle, EA 2019, Mulhouse, France, October 29–30, 2019, Revised Selected Papers
Editors: Lhassane Idoumghar, Pierrick Legrand, Arnaud Liefooghe, Evelyne Lutton, Nicolas Monmarché, Marc Schoenauer
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-030-45715-0
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Switzerland AG 2020
Softcover ISBN: 978-3-030-45714-3Published: 16 April 2020
eBook ISBN: 978-3-030-45715-0Published: 29 April 2020
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XIV, 219
Number of Illustrations: 44 b/w illustrations, 32 illustrations in colour
Topics: Artificial Intelligence, Algorithm Analysis and Problem Complexity, Numeric Computing, Information Systems and Communication Service, Computer Systems Organization and Communication Networks