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Simulated Evolution and Learning

9th International Conference, SEAL 2012, Hanoi, Vietnam, December 16-19, 2012, Proceedings

  • Conference proceedings
  • © 2012

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Editors:
  1. Lam Thu Bui

    1. Faculty of Information Technology, Le Quy Don Technical University, Hanoi, Vietnam

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  2. Yew Soon Ong

    1. School of Computer Engineering, Nanyang Technological University, Singapore, Singapore

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  3. Nguyen Xuan Hoai

    1. Faculty of Information Technology,, Hanoi University, Hanoi, Vietnam

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  4. Hisao Ishibuchi

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

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  5. Ponnuthurai Nagaratnam Suganthan

    1. School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, Singapore

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 7673)

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

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Conference proceedings info: SEAL 2012.

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About this book

This volume constitutes the proceedings of the 9th International Conference on Simulated Evolution and Learning, SEAL 2012, held in Hanoi, Vietnam, in December 2012.
The 50 full papers presented were carefully reviewed and selected from 91 submissions. The papers are organized in topical sections on evolutionary algorithms, theoretical developments, swarm intelligence, data mining, learning methodologies, and real-world applications.

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Keywords

Table of contents (50 papers)

  1. Front Matter

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  2. Evolutionary Algorithms

    1. The Influence of the Number of Initial Feasible Solutions on the Performance of an Evolutionary Optimization Algorithm

      • Saber M. Elsayed, Ruhul A. Sarker, Daryl L. Essam
      Pages 1-11

    2. Concurrent Differential Evolution Based on Generational Model for Multi-core CPUs

      • Kiyoharu Tagawa
      Pages 12-21

    3. Figure of Merit Based Fitness Functions in Genetic Programming for Edge Detection

      • Wenlong Fu, Mark Johnston, Mengjie Zhang
      Pages 22-31

    4. An Evolutionary Algorithm for the Over-constrained Airport Baggage Sorting Station Assignment Problem

      • Amadeo Ascó, Jason A. D. Atkin, Edmund K. Burke
      Pages 32-41

    5. A Non-parametric Statistical Dominance Operator for Noisy Multiobjective Optimization

      • Dung H. Phan, Junichi Suzuki
      Pages 42-51

    6. The Emergence of New Genes in EcoSim and Its Effect on Fitness

      • Marwa Khater, Elham Salehi, Robin Gras
      Pages 52-61

    7. Mass-Dispersed Gravitational Search Algorithm for Gene Regulatory Network Model Parameter Identification

      • Mohsen Davarynejad, Zary Forghany, Jan van den Berg
      Pages 62-72

    8. A Density Based Approach to the Access Point Layout Smart Distribution Grid Design Optimization Problem

      • Bin Zhang, Kamran Shafi, Hussein A. Abbass
      Pages 73-82

    9. Multi-modal Valley-Adaptive Memetic Algorithm for Efficient Discovery of First-Order Saddle Points

      • Mostafa Ellabaan, Xianshun Chen, Nguyen Quang Huy
      Pages 83-92

    10. Ensemble Fuzzy Rule-Based Classifier Design by Parallel Distributed Fuzzy GBML Algorithms

      • Hisao Ishibuchi, Masakazu Yamane, Yusuke Nojima
      Pages 93-103

    11. HEMH2: An Improved Hybrid Evolutionary Metaheuristics for 0/1 Multiobjective Knapsack Problems

      • Ahmed Kafafy, Ahmed Bounekkar, Stéphane Bonnevay
      Pages 104-116

  3. Theoretical Developments

    1. Guided Reproduction in Differential Evolution

      • Prashant Singh Rana, Harish Sharma, Mahua Bhattacharya, Anupam Shukla
      Pages 117-127

    2. A Study of Breakout Local Search for the Minimum Sum Coloring Problem

      • Una Benlic, Jin-Kao Hao
      Pages 128-137

    3. XCS with Adaptive Action Mapping

      • Masaya Nakata, Pier Luca Lanzi, Keiki Takadama
      Pages 138-147

    4. DEAL: A Direction-Guided Evolutionary Algorithm

      • Cuong C. Vu, Lam Thu Bui, Hussein A. Abbass
      Pages 148-157

    5. Introduction of a Mutation Specific Fast Non-dominated Sorting GA Evolved for Biochemical Optimizations

      • Susanne Rosenthal, Nail El-Sourani, Markus Borschbach
      Pages 158-167

    6. Using Hybrid Dependency Identification with a Memetic Algorithm for Large Scale Optimization Problems

      • Eman Sayed, Daryl Essam, Ruhul Sarker
      Pages 168-177

    7. Application of Cooperative Convolution Optimization for 13C Metabolic Flux Analysis: Simulation of Isotopic Labeling Patterns Based on Tandem Mass Spectrometry Measurements

      • Rohitash Chandra, Mengjie Zhang, Lifeng Peng
      Pages 178-187

  4. Swarm Intelligence

    1. An Efficient Two-Phase Ant Colony Optimization Algorithm for the Closest String Problem

      • Hoang Xuan Huan, Dong Do Duc, Nguyen Manh Ha
      Pages 188-197
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Other volumes

  1. Simulated Evolution and Learning

Editors and Affiliations

  • Faculty of Information Technology, Le Quy Don Technical University, Hanoi, Vietnam

    Lam Thu Bui

  • School of Computer Engineering, Nanyang Technological University, Singapore, Singapore

    Yew Soon Ong

  • Faculty of Information Technology,, Hanoi University, Hanoi, Vietnam

    Nguyen Xuan Hoai

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

    Hisao Ishibuchi

  • School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, Singapore

    Ponnuthurai Nagaratnam Suganthan

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