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  • Conference proceedings
  • © 2014

Simulated Evolution and Learning

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

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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)

Conference series link(s): SEAL: International Conference on Simulated Evolution and Learning

Conference proceedings info: SEAL 2014.

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Table of contents (71 papers)

  1. Front Matter

  2. Evolutionary Optimization

    1. Solving Dynamic Optimisation Problem with Variable Dimensions

      • AbdelMonaem F. M. AbdAllah, Daryl L. Essam, Ruhul A. Sarker
      Pages 1-12
    2. A Probabilistic Evolutionary Optimization Approach to Compute Quasiparticle Braids

      • Roberto Santana, Ross B. McDonald, Helmut G. Katzgraber
      Pages 13-24
    3. Generating Software Test Data by Particle Swarm Optimization

      • Ya-Hui Jia, Wei-Neng Chen, Jun Zhang, Jing-Jing Li
      Pages 37-47
    4. The Performance Effects of Interaction Frequency in Parallel Cooperative Coevolution

      • Xiaofen Lu, Stefan Menzel, Ke Tang, Xin Yao
      Pages 82-93
    5. Customized Selection in Estimation of Distribution Algorithms

      • Roberto Santana, Alexander Mendiburu, Jose A. Lozano
      Pages 94-105
    6. An Analysis of Differential Evolution Parameters on Rotated Bi-objective Optimization Functions

      • Martin Drozdik, Kiyoshi Tanaka, Hernan Aguirre, Sebastien Verel, Arnaud Liefooghe, Bilel Derbel
      Pages 143-154
    7. Effects of Mutation and Crossover Operators in the Optimization of Traffic Signal Parameters

      • Rolando Armas, Hernán Aguirre, Kiyoshi Tanaka
      Pages 167-179
    8. A GP Approach to QoS-Aware Web Service Composition and Selection

      • Alexandre Sawczuk da Silva, Hui Ma, Mengjie Zhang
      Pages 180-191
  3. Evolutionary Multi-objective Optimization

    1. A Novel Hybrid Multi-objective Optimization Framework: Rotating the Objective Space

      • Xin Qiu, Ye Huang, Jian-Xin Xu, Kay Chen Tan
      Pages 192-203
    2. Evolving Hard and Easy Traveling Salesman Problem Instances: A Multi-objective Approach

      • He Jiang, Wencheng Sun, Zhilei Ren, Xiaochen Lai, Yong Piao
      Pages 216-227

Other Volumes

  1. Simulated Evolution and Learning

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

Bibliographic Information

Buy it now

Buying options

eBook USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access