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Genetic and Evolutionary Computing

Proceeding of the Eighth International Conference on Genetic and Evolutionary Computing, October 18-20, 2014, Nanchang, China

  • Conference proceedings
  • © 2015

Overview

Editors:
  1. Hui Sun

    1. HIGH-TECH Industry Development Zone, Nanchang Institute of Technology, Jiangxi Province, China

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  2. Chin-Yu Yang

    1. Department of Computer Science and Information Engineering, National Penghu University of Science and Technology, Magong City, Taiwan

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  3. Chun-Wei Lin

    1. Innovative Information Industry Research Center, Shenzhen University Harbin Institute of Technology, Shenzhen, China

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  4. Jeng-Shyang Pan

    1. Harbin Institute of Technology Innovative Info. Industry Res. Center, Shenzhen University, Shenzhen, China

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  5. Vaclav Snasel

    1. Department of Computer Science Faculty of Elec. Eng. & Comp. Sci., VSB-Technical University of Ostrava, Ostrava, Czech Republic

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  6. Ajith Abraham

    1. Scientific Network for Innovation and Research Excellence, Machine Intelligence Research Labs (MIR Labs), Auburn, USA

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  • Presents recent research in Genetic and Evolutionary Computing
  • Proceedings of the 8th International Conference on Genetic and Evolutionary Computing ICGEC 2014 held in, Nanchang China, October 18-20, 2014
  • Written by experts in the field

Part of the book series: Advances in Intelligent Systems and Computing (AISC, volume 329)

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Table of contents (43 papers)

  1. Front Matter

    Pages 1-14
    Download chapter PDF

  2. Nature Inspired Constrained Optimization

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. Artificial Bee Colony Using Opposition-Based Learning

      • Jia Zhao, Li Lv, Hui Sun
      Pages 3-10

    3. Theorem of Existence and Uniqueness of Fixed Points of Monotone Operators

      • Hui Luan, Zhihong Xia
      Pages 11-17

    4. Adaptive Sampling Detection Based Immune Optimization Approach and Its Application to Chance Constrained Programming

      • Kai Yang, Zhuhong Zhang
      Pages 19-28

    5. Characteristic Analysis and Management of Human Resource in EPC Project

      • Wenhai Luo, Yanfang Zhu, Tao Hong
      Pages 29-36

    6. Hybrid Particle Swarm Optimization with Bat Algorithm

      • Tien-Szu Pan, Thi-Kien Dao, Trong-The Nguyen, Shu-Chuan Chu
      Pages 37-47

    7. Interaction Artificial Bee Colony Based Load Balance Method in Cloud Computing

      • Jeng-Shyang Pan, Haibin Wang, Hongnan Zhao, Linlin Tang
      Pages 49-57

    8. Command Center Operation Miss Root Cause Analysis

      • XiaoLin Xiong, XinMing Xiang
      Pages 59-65

  3. Recent Advances on Evolutionary Optimization Technologies

    1. Front Matter

      Pages 67-67
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    2. A New Cat Swarm Optimization with Adaptive Parameter Control

      • Jianguo Wang
      Pages 69-78

    3. Multi-objective Nondominated Sorting Invasive Weed Optimization Algorithm for the Permanent Magnet Brushless Direct Current Motor Design

      • Si-Ling Wang, Bao-Wei Song, Gui-Lin Duan
      Pages 79-87

    4. An Evolutionary Approach to Tower of Hanoi Problem

      • Jie Li, Rui Shen
      Pages 89-98

    5. Multipopulational Metaheuristic Approaches to Real-Parameter Optimization

      • Václav Snášel, Pavel Krömer
      Pages 99-108

    6. Evolved Bat Algorithm for Solving the Economic Load Dispatch Problem

      • Thi-Kien Dao, Tien-Szu Pan, Trong-The Nguyen, Shu-Chuan Chu
      Pages 109-119

    7. A Simple and Accurate Global Optimizer for Continuous Spaces Optimization

      • Zhenyu Meng, Jeng-Shyang Pan
      Pages 121-129

    8. Spatial Evolutionary Algorithm for Large-Scale Groundwater Management

      • Jihua Wang, Ximing Cai, Albert Valocchi
      Pages 131-142

  4. Wearable Computing and Intelligent Data Hiding

    1. Front Matter

      Pages 143-143
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    2. Block-Based Colour Image Steganography Using Smart Pixel-Adjustment

      • Ching-Yu Yang, Wen-Fong Wang
      Pages 145-154

    3. A Sport Recognition Method with Utilizing Less Motion Sensors

      • Wen-Fong Wang, Ching-Yu Yang, Ji-Ting Guo
      Pages 155-167
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Keywords

About this book

This volume of Advances in Intelligent Systems and Computing contains accepted papers presented at ICGEC 2014, the 8th International Conference on Genetic and Evolutionary Computing. The conference this year was technically co-sponsored by Nanchang Institute of Technology in China, Kaohsiung University of Applied Science in Taiwan, and VSB-Technical University of Ostrava. ICGEC 2014 is held from 18-20 October 2014 in Nanchang, China. Nanchang is one of is the capital of Jiangxi Province in southeastern China, located in the north-central portion of the province. As it is bounded on the west by the Jiuling Mountains, and on the east by Poyang Lake, it is famous for its scenery, rich history and cultural sites. Because of its central location relative to the Yangtze and Pearl River Delta regions, it is a major railroad hub in Southern China. The conference is intended as an international forum for the researchers and professionals in all areas of genetic and evolutionary computing.

Editors and Affiliations

  • HIGH-TECH Industry Development Zone, Nanchang Institute of Technology, Jiangxi Province, China

    Hui Sun

  • Department of Computer Science and Information Engineering, National Penghu University of Science and Technology, Magong City, Taiwan

    Chin-Yu Yang

  • Innovative Information Industry Research Center, Shenzhen University Harbin Institute of Technology, Shenzhen, China

    Chun-Wei Lin

  • Harbin Institute of Technology Innovative Info. Industry Res. Center, Shenzhen University, Shenzhen, China

    Jeng-Shyang Pan

  • Department of Computer Science Faculty of Elec. Eng. & Comp. Sci., VSB-Technical University of Ostrava, Ostrava, Czech Republic

    Vaclav Snasel

  • Scientific Network for Innovation and Research Excellence, Machine Intelligence Research Labs (MIR Labs), Auburn, USA

    Ajith Abraham

Bibliographic Information

  • Book Title: Genetic and Evolutionary Computing

  • Book Subtitle: Proceeding of the Eighth International Conference on Genetic and Evolutionary Computing, October 18-20, 2014, Nanchang, China

  • Editors: Hui Sun, Chin-Yu Yang, Chun-Wei Lin, Jeng-Shyang Pan, Vaclav Snasel, Ajith Abraham

  • Series Title: Advances in Intelligent Systems and Computing

  • DOI: https://doi.org/10.1007/978-3-319-12286-1

  • Publisher: Springer Cham

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: Springer International Publishing Switzerland 2015

  • Softcover ISBN: 978-3-319-12285-4Published: 27 October 2014

  • eBook ISBN: 978-3-319-12286-1Published: 30 September 2014

  • Series ISSN: 2194-5357

  • Series E-ISSN: 2194-5365

  • Edition Number: 1

  • Number of Pages: XVI, 428

  • Number of Illustrations: 157 b/w illustrations, 7 illustrations in colour

  • Topics: Computational Intelligence, Artificial Intelligence

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