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Shi, Yuhui (Hrsg.) : Simulated Evolution and Learning (eBook)

11th International Conference, SEAL 2017, Shenzhen, China, November 10-13, 2017, Proceedings

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.


Autor Shi, Yuhui (Hrsg.) / Tan, Kay Chen (Hrsg.) / Zhang, Mengjie (Hrsg.) / Tang, Ke (Hrsg.) / Li, Xiaodong (Hrsg.) / Zhang, Qingfu (Hrsg.) / Tan, Ying (Hrsg.) / Middendorf, Martin (Hrsg.) / Jin, Yaochu (Hrsg.)
Verlag Springer-Verlag GmbH
Einband PDF
Erscheinungsjahr 2017
Seitenangabe 1041 S.
Meldetext
Ausgabekennzeichen Englisch
Abbildungen 317 schwarz-weiße Abbildungen, Bibliographie
Masse 68'713 KB
Plattform PDF
Reihe Lecture Notes in Computer Science

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.


Fr. 143.50
Verfügbarkeit: Am Lager
ISBN: 978-3-319-68759-9

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