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Simulated Evolution and Learning

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

  • Conference proceedings
  • © 2014

Overview

Editors:
  1. Grant Dick

    1. Otago University, Dunedin, New Zealand

  2. Will N. Browne

    1. Victoria University of Welling, New Zealand

  3. Peter Whigham

    1. University of Otago, Dunedin, New Zealand

  4. Mengjie Zhang

    1. Unitec Institute of Technology, Victoria University of Wellington, New Zealand

  5. Lam Thu Bui

    1. Le Quy Don Technical University, Hanoi, Vietnam

  6. Hisao Ishibuchi

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

  7. Yaochu Jin

    1. Department of Computing, University of Surrey, Guildford, UK

  8. Xiaodong Li

    1. RMIT University, Melbourne, Australia

  9. Yuhui Shi

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

  10. Pramod Singh

    1. Indian Institute of Information Technology and Management, Gwalior, India

  11. Kay Chen Tan

    1. Department of Electrical and Computer Engineering, National University of Singapore, Singapore, Singapore

  12. Ke Tang

    1. 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

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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)

Included in the following conference series:

Conference proceedings info: SEAL 2014.

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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.

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Table of contents (71 papers)

  1. Front Matter

    Download chapter PDF

  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. Adaptive System Design by a Simultaneous Evolution of Morphology and Information Processing

      • Olga Smalikho, Markus Olhofer
      Pages 25-36

    4. Generating Software Test Data by Particle Swarm Optimization

      • Ya-Hui Jia, Wei-Neng Chen, Jun Zhang, Jing-Jing Li
      Pages 37-47

    5. A Steady-State Genetic Algorithm for the Dominating Tree Problem

      • Shyam Sundar
      Pages 48-57

    6. Evolution of Developmental Timing for Solving Hierarchically Dependent Deceptive Problems

      • Kouta Hamano, Kei Ohnishi, Mario Köppen
      Pages 58-69

    7. The Introduction of Asymmetry on Traditional 2-Parent Crossover Operators for Crowding and Its Effects

      • Shigeyoshi Tsutsui
      Pages 70-81

    8. The Performance Effects of Interaction Frequency in Parallel Cooperative Coevolution

      • Xiaofen Lu, Stefan Menzel, Ke Tang, Xin Yao
      Pages 82-93

    9. Customized Selection in Estimation of Distribution Algorithms

      • Roberto Santana, Alexander Mendiburu, Jose A. Lozano
      Pages 94-105

    10. A Hybrid GP-Tabu Approach to QoS-Aware Data Intensive Web Service Composition

      • Yang Yu, Hui Ma, Mengjie Zhang
      Pages 106-118

    11. A Modified Screening Estimation of Distribution Algorithm for Large-Scale Continuous Optimization

      • Krishna Manjari Mishra, Marcus Gallagher
      Pages 119-130

    12. Clustering Problems for More Useful Benchmarking of Optimization Algorithms

      • Marcus Gallagher
      Pages 131-142

    13. 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

    14. Fuzzy Clustering with Fitness Predator Optimizer for Multivariate Data Problems

      • Shiqin Yang, Yuji Sato
      Pages 155-166

    15. Effects of Mutation and Crossover Operators in the Optimization of Traffic Signal Parameters

      • Rolando Armas, Hernán Aguirre, Kiyoshi Tanaka
      Pages 167-179

    16. 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. PaCcET: An Objective Space Transformation to Iteratively Convexify the Pareto Front

      • Logan Yliniemi, Kagan Tumer
      Pages 204-215

    3. 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
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Other volumes

  1. Simulated Evolution and Learning

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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