Life System Modeling and Intelligent Computing

Life System Modeling and Intelligent Computing
Author :
Publisher : Springer Science & Business Media
Total Pages : 279
Release :
ISBN-10 : 9783642158520
ISBN-13 : 3642158528
Rating : 4/5 (528 Downloads)

Book Synopsis Life System Modeling and Intelligent Computing by : Kang Li

Download or read book Life System Modeling and Intelligent Computing written by Kang Li and published by Springer Science & Business Media. This book was released on 2010-09-03 with total page 279 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.


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This book constitutes the first part of the refereed proceedings of the International Conference on Life System Modeling and Simulation, LSMS 2014, and of the I