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Simulated Evolution and Learning

10th International Conference, SEAL 2014, Dunedin, New Zealand, December 15-18, Proceedings

  • Conference proceedings
  • © 2014

Overview

  • Up-to-date results
  • Fast track conference proceedings
  • State-of-the-art report

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 8886)

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

Included in the following conference series:

Conference proceedings info: SEAL 2014.

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Table of contents (71 papers)

  1. Evolutionary Optimization

  2. Evolutionary Multi-objective Optimization

Other volumes

  1. Simulated Evolution and Learning

Keywords

About this book

This volume constitutes the proceedings of the 10th International Conference on Simulated Evolution and Learning, SEAL 2012, held in Dunedin, New Zealand, in December 2014. The 42 full papers and 29 short papers presented were carefully reviewed and selected from 109 submissions. The papers are organized in topical sections on evolutionary optimization; evolutionary multi-objective optimization; evolutionary machine learning; theoretical developments; evolutionary feature reduction; evolutionary scheduling and combinatorial optimization; real world applications and evolutionary image analysis.

Editors and Affiliations

  • Otago University, Dunedin, New Zealand

    Grant Dick

  • Victoria University of Welling, New Zealand

    Will N. Browne

  • University of Otago, Dunedin, New Zealand

    Peter Whigham

  • Unitec Institute of Technology, Victoria University of Wellington, New Zealand

    Mengjie Zhang

  • Le Quy Don Technical University, Hanoi, Vietnam

    Lam Thu Bui

  • Department of Computer Science and Intelligent Systems, Graduate School of Engineering, Osaka Prefecture University, Sakai, Japan

    Hisao Ishibuchi

  • Department of Computing, University of Surrey, Guildford, UK

    Yaochu Jin

  • RMIT University, Melbourne, Australia

    Xiaodong Li

  • Department of Electrical & Electronic Engineering, Xi’an Jiaotong-Liverpool University, Suzhou, China

    Yuhui Shi

  • Indian Institute of Information Technology and Management, Gwalior, India

    Pramod Singh

  • Department of Electrical and Computer Engineering, National University of Singapore, Singapore, Singapore

    Kay Chen Tan

  • USTC-Birmingham Joint Research Institute in Intelligent Computation and Its Applications (UBRI), School of Computer Science and Technology, University of Science and Technology of China, Hefei, China

    Ke Tang

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