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Simulated Evolution and Learning

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

  • Conference proceedings
  • © 2017

Overview

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 10593)

Part of the book sub series: Theoretical Computer Science and General Issues (LNTCS)

Included in the following conference series:

Conference proceedings info: SEAL 2017.

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Table of contents (85 papers)

  1. Evolutionary Optimisation

  2. Evolutionary Multiobjective Optimisation

Other volumes

  1. Simulated Evolution and Learning

Keywords

About this book

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.

Editors and Affiliations

  • Southern University of Science and Technology, Shenzhen, China

    Yuhui Shi, Ke Tang

  • City University of Hong Kong, Hong Kong, Hong Kong

    Kay Chen Tan

  • Victoria University of Wellington, Wellington, New Zealand

    Mengjie Zhang

  • RMIT University, Melbourne, Australia

    Xiaodong Li

  • City University of Hong Kong, Kowloon Tong, Hong Kong

    Qingfu Zhang

  • Peking University, Beijing, China

    Ying Tan

  • University of Leipzig, Leipzig, Germany

    Martin Middendorf

  • University of Surrey, Guildford, Surrey, United Kingdom

    Yaochu Jin

Bibliographic Information

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