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
  • Minrui Fei
  • Li Jia
  • George W. Irwin

Part of the Lecture Notes in Computer Science book series (LNCS, volume 6329)

Table of contents

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

    1. Chamil Abeykoon, Marion McAfee, Kang Li, Peter J. Martin, Jing Deng, Adrian L. Kelly
      Pages 9-20
    2. Jie Qi, Shunan Pang
      Pages 30-39
    3. Jing Deng, Kang Li, George W. Irwin, Minrui Fei
      Pages 40-48
    4. Ling Wang, Xiping Fu, Muhammad Ilyas Menhas, Minrui Fei
      Pages 49-57
    5. Jianguo Wang, Shiwei Ma, Xiaowei Gou, Ling Wang, Li Jia
      Pages 69-74
    6. Zhiqiang Geng, Yongming Han, Yuanyuan Zhang, Xiaoyun Shi
      Pages 84-92
    7. Longhan Cao, Shentao Wang, Xiaoli Liu, Rui Dai, Mingliang Wu
      Pages 93-100
    8. Jue Wu, LingXi Peng, LiXue Chen, Lei Yang
      Pages 138-147
    9. Yan-jun Shi, Fu-Zhen Qu, Wang Chen, Bo Li
      Pages 148-157
  3. The Second Section: Advanced Neural Network and Fuzzy System Theory and Algorithms

About these proceedings


The 2010 International Conference on Life System Modeling and Simulation (LSMS 2010) and the 2010 International Conference on Intelligent Computing for Sustainable Energy and Environment (ICSEE 2010) were formed to bring together researchers 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 modeling 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.


biological simulation biological systems biomedical imaging biomedical signal processing biomedical visualization collective behavior distributed power generation evolutionary algorithms evolutionary computing life systems neural networks power

Editors and affiliations

  • Kang Li
    • 1
  • Minrui Fei
    • 2
  • Li Jia
    • 2
  • George W. Irwin
    • 3
  1. 1.Electrical Engineering and Computer ScienceThe Queen’s UniversityBelfastUK
  2. 2.School of Mechatronical Engineering and AutomationShanghai UniversityShanghaiChina
  3. 3.School of Electronics, Electrical Engineering and Computer ScienceThe Queen’s UniversityBelfastUK

Bibliographic information

  • DOI
  • Copyright Information Springer Berlin Heidelberg 2010
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-642-15596-3
  • Online ISBN 978-3-642-15597-0
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book