Life System Modeling and Intelligent Computing

International Conference on Life System Modeling and Simulation, LSMS 2010, and International Conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2010, Wuxi, China, September 17-20, 2010. Proceedings, Part II

  • Kang Li
  • Xin Li
  • Shiwei Ma
  • George W. Irwin

Part of the Communications in Computer and Information Science book series (CCIS, volume 98)

Table of contents

  1. Front Matter
  2. The First Section: Advanced Evolutionary Computing Theory and Algorithms

    1. Yang Sun, Lingbo Zhang, Xingsheng Gu
      Pages 1-7
    2. Ben Niu, Han Xiao, Lijing Tan, Li Li, Junjun Rao
      Pages 16-22
    3. Xiaozhi Gao, Linchuan Li, Wenyan Chen
      Pages 23-29
    4. Zhongkai Li, Zhencai Zhu, Shanzeng Liu, Zhongbin Wang
      Pages 30-36
    5. Ling Wang, Yin Xu, Yunfei Mao, Minrui Fei
      Pages 37-43
    6. Muhammad Ilyas Menhas, Ling Wang, Hui Pan, Minrui Fei
      Pages 44-51
    7. Yan Yuan, Jingling Yuan, Hongfu Du, Li Li
      Pages 59-65
    8. Hui Pan, Minrui Fei, Ling Wang, Kang Li
      Pages 73-81
    9. L. F. Wang, Y. C. Wang, J. C. Zeng, Y. Hong
      Pages 82-88
    10. Ruochen Liu, Ping Zhang, Licheng Jiao
      Pages 89-95
  3. The Second Section: Advanced Neural Network Theory and Algorithms

    1. Longcun Jin, Wanggen Wan, Yongliang Wu, Bin Cui, Xiaoqing Yu
      Pages 96-101
    2. Rongbao Chen, Liyou Qian, Yuanxiang Zhou, Xuanyu Li
      Pages 110-116
    3. Min Zheng, Minrui Fei, Taicheng Yang, Yang Li
      Pages 123-128
    4. Weichun Zhang, Bingbing Ma, Peng Yu, Baohao Pei
      Pages 129-138

About these proceedings


The 2010 International Conference on Life System Modeling and Simulation (LSMS 2010) and the 2010 International Conference on Intelligent Computing for Susta- able Energy and Environment (ICSEE 2010) were formed to bring together resear- ers and practitioners in the fields of life system modeling/simulation and intelligent computing applied to worldwide sustainable energy and environmental applications. A life system is a broad concept, covering both micro and macro components ra- ing from cells, tissues and organs across to organisms and ecological niches. To c- prehend and predict the complex behavior of even a simple life system can be - tremely difficult using conventional approaches. To meet this challenge, a variety of new theories and methodologies have emerged in recent years on life system mod- ing and simulation. Along with improved understanding of the behavior of biological systems, novel intelligent computing paradigms and techniques have emerged to h- dle complicated real-world problems and applications. In particular, intelligent c- puting approaches have been valuable in the design and development of systems and facilities for achieving sustainable energy and a sustainable environment, the two most challenging issues currently facing humanity. The two LSMS 2010 and ICSEE 2010 conferences served as an important platform for synergizing these two research streams.


ant colonies biochips biological systems simulation biorobotics data mining fuzzy system knowledge discovery modeling swarms system modeling systems simulation visualization

Editors and affiliations

  • Kang Li
    • 1
  • Xin Li
    • 2
  • Shiwei Ma
    • 2
  • George W. Irwin
    • 1
  1. 1.School of Electronics, Electrical Engineering & Computer ScienceQueen’s University BelfastBelfastUK
  2. 2.Shanghai UniversityChina

Bibliographic information

  • DOI
  • Copyright Information Springer-Verlag Heidelberg 2010
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-642-15858-2
  • Online ISBN 978-3-642-15859-9
  • Series Print ISSN 1865-0929
  • Series Online ISSN 1865-0937
  • About this book