Simulated Evolution and Learning / Lecture Notes in Computer Science Bd.10593 (PDF)
11th International Conference, SEAL 2017, Shenzhen, China, November 10-13, 2017, Proceedings
(Sprache: Englisch)
This book constitutes the refereed proceedings of the 11th International Conference on Simulated Evolution and Learning, SEAL 2017, held in Shenzhen, China, in November 2017.
The 85 papers presented in this volume were carefully reviewed and selected from...
The 85 papers presented in this volume were carefully reviewed and selected from...
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This book constitutes the refereed proceedings of the 11th International Conference on Simulated Evolution and Learning, SEAL 2017, held in Shenzhen, China, in November 2017.
The 85 papers presented in this volume were carefully reviewed and selected from 145 submissions. They were organized in topical sections named: evolutionary optimisation; evolutionary multiobjective optimisation; evolutionary machine learning; theoretical developments; feature selection and dimensionality reduction; dynamic and uncertain environments; real-world applications; adaptive systems; and swarm intelligence.
The 85 papers presented in this volume were carefully reviewed and selected from 145 submissions. They were organized in topical sections named: evolutionary optimisation; evolutionary multiobjective optimisation; evolutionary machine learning; theoretical developments; feature selection and dimensionality reduction; dynamic and uncertain environments; real-world applications; adaptive systems; and swarm intelligence.
Bibliographische Angaben
- 2017, 1st ed. 2017, 1041 Seiten, Englisch
- Herausgegeben: Yuhui Shi, Kay Chen Tan, Mengjie Zhang, Ke Tang, Xiaodong Li, Qingfu Zhang, Ying Tan, Martin Middendorf, Yaochu Jin
- Verlag: Springer-Verlag GmbH
- ISBN-10: 331968759X
- ISBN-13: 9783319687599
- Erscheinungsdatum: 01.11.2017
Abhängig von Bildschirmgrösse und eingestellter Schriftgrösse kann die Seitenzahl auf Ihrem Lesegerät variieren.
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