Handbook of Research on Artificial Immune Systems and Natural Computing: Applying Complex Adaptive Technologies

Handbook of Research on Artificial Immune Systems and Natural Computing: Applying Complex Adaptive Technologies

Hongwei Mo
Indexed In: SCOPUS View 1 More Indices
Release Date: April, 2009|Copyright: © 2009 |Pages: 634
DOI: 10.4018/978-1-60566-310-4
ISBN13: 9781605663104|ISBN10: 1605663107|EISBN13: 9781605663111
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Description & Coverage
Description:

Today, nature is used as a source of inspiration for the development of new techniques for solving complex problems in various domains, from engineering to biology, with innovative adaptations under investigation.

The Handbook of Research on Artificial Immune Systems and Natural Computing: Applying Complex Adaptive Technologies provides the latest empirical research findings, theoretical frameworks, and technologies of natural computing and artificial immune systems (AIS). An excellent reference source for professionals, researchers, and academicians within the AIS and natural computing fields, this comprehensive collection written by leading international experts proposes new ideas, methods, and theories to solve problems of engineering and science.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

  • Artificial immune systems and agents
  • Artificial life optimization algorithm
  • Clonal selection algorithm
  • Complex adaptive technologies
  • Content Based Image Retrieval
  • Evolutionary Computation
  • Evolutionary path planning
  • Fuzzy chaotic neural networks
  • Immune based bio-network architecture
  • Immune optimization algorithms
  • Immunological network concept
  • Natural Computing
  • Nature inspired parallel computing
Reviews & Statements

This is a good book full of new ideas and recent developments in NC, especially the AIS. It should motivate researchers to cultivate new theories and methods, and thus advance the field even further. The book can also arouse beginners' interests and bring many young minds into this field.

– Lipo Wang, Nanyang Technological University, Singapore

Scientists and engineers from around the world report and review recent research results in artificial immune systems, often as combined with other methods of natural computing, which is engaged with developing intelligent systems inspired from nature, especially biological and physical systems.

– Book News Inc. (March 2009)
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Editor/Author Biographies
Hongwei Mo was born in 1973. He receiced his BS and PhD degrees from Automation College of Harbin Engineering University in 2002 and 2005. He is presently a professor of Automation College of Harbin Engineering University. He was a visiting Scholar of UCDavis (California, USA) from 2003-2004. His main research interests include, natural computing, artificial immune systems, data mining, intelligent systems, and artificial intelligence. He has published 30 papers and two books on AIS. He is a director at the Biomedicine Engineering Academy of Heilongjiang Province, commissioner of the China Neural Network Committee, and a senior member of the Computer Academy of China. He is secretary-general chairman and associate chairman of the organization committee of the 16th China Neural Network Conference and 1st Conference of Special Topic on Artificial Immune Systems, a member of the program committee of the 2nd International Conference on Natural Computing, Fuzzy Systems, and Knowledge Discovery (ICNC-FSKD2006), 1st International Conference on Rough Sets and Knowledge Discovery, 6th International Conference on Simulation Learning and Evolution, 13th IEEE International Conference on Mechanics and Automation(ICMA2007), Biology Inspired Computing 2008, and numerous other conferences. He served as a member of the editorial board for the International Journal on Information Technology Research.
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Editorial Advisory Board
  • Eugene Eberbach, Rensselaer Polytechnic Institute at Hartford, USA
  • Fabio Freschi, CINVESTAV-IPN, Mexico
  • Jiao Licheng, Xidian University, China
  • Lenka Lhotska, BioDat Research Group, Czech Republic
  • Mahdi Mahfouf, The University of Sheffield, United Kingdom
  • James F. Peters, University of Manitoba, Canada
  • Maurizio Repetto, CINVESTAV-IPN, Mexico
  • Georgios Ch. Sirakoulis, Democritus University of Thrace, Greece
  • Prof. Slawomir T. Wierzchon, Polish Academy of Sciences, Poland
  • Bo-Suk Yang, Pukyong National University, South Korea