Artificial Evolution: 14th International Conference, Évolution Artificielle, EA 2019, Mulhouse, France, October 29—30, 2019, Revised Selected Papers: 12052 (Lecture Notes in Computer Science, 12052). This item is unavailable.
Language: English
Published by Springer, 2020
- Softcover
- Used
Seller: AwesomeBooks, Wallingford, United KingdomAwesomeBooks
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Condition: Used - Very good
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Item description from seller
Artificial Evolution: 14th International Conference, Évolution Artificielle, EA 2019, Mulhouse, France, October 29—30, 2019, Revised Selected Papers: 12052 (Lecture Notes in Computer Science, 12052) This book is in very good condition and will be shipped within 24 hours of ordering. The cover may have some limited signs of wear but the pages are clean, intact and the spine remains undamaged. This book has clearly been well maintained and looked after thus far. Money back guarantee if you are not satisfied. See all our books here, order more than 1 book and get discounted shipping. .
Seller Inventory # 7719-9783030457143
- Title
- Artificial Evolution: 14th International Conference, Évolution Artificielle, EA 2019, Mulhouse, France, October 29—30, 2019, Revised Selected Papers: 12052 (Lecture Notes in Computer Science, 12052)
- Author
- -
- Publisher
- Springer
- Publication year
- 2020
- Condition
- Very Good
- Binding
- paperback
- Language
- English
- ISBN 10
- 3030457141
- ISBN 13
- 9783030457143
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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