Overview
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 10764)
Part of the book sub series: Theoretical Computer Science and General Issues (LNTCS)
Included in the following conference series:
Conference proceedings info: EA 2017.
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About this book
This book constitutes the thoroughly refereed post-conference proceedings of the 13th International Conference on Artificial Evolution, EA 2017, held in Paris, France, in October 2017.
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, algorithmics 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 optimisation, constraint handling, parallel algorithms,, dynamic optimization, machine learning and hybridization with other soft computing techniques.
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Keywords
- artificial intelligence
- assignment problems
- combinatorial mathematics
- combinatorial optimization
- evolutionary algorithms
- genetic algorithms
- genetic programming
- heuristic methods
- image analysis
- learning algorithms
- meta heuristics
- problem solving
- quadratic assignment problems
- search algorithms
- search spaces
- simulated annealing
- tabu search
- traveling salesman problem
- 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: 13th International Conference, Évolution Artificielle, EA 2017, Paris, France, October 25–27, 2017, Revised Selected Papers
Editors: Evelyne Lutton, Pierrick Legrand, Pierre Parrend, Nicolas Monmarché, Marc Schoenauer
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-319-78133-4
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing AG, part of Springer Nature 2018
Softcover ISBN: 978-3-319-78132-7Published: 20 March 2018
eBook ISBN: 978-3-319-78133-4Published: 22 March 2018
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XVI, 231
Number of Illustrations: 77 b/w illustrations
Topics: Artificial Intelligence, Algorithm Analysis and Problem Complexity, Discrete Mathematics in Computer Science, Numeric Computing, Math Applications in Computer Science