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Published in: Neural Computing and Applications 4/2010

01-06-2010 | Call for Papers

Special Issue on Artificial Immune Systems: Theory and Applications

Authors: Xiao-Zhi Gao, Mo-Yuen Chow, David Pelta, Jon Timmis

Published in: Neural Computing and Applications | Issue 4/2010

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Excerpt

Natural immune systems are sophisticated and complex defense and maintenance systems with remarkable capabilities, such as learning, memory, and adaptation. The immune system can be viewed in two parts: the innate immune system and the adaptive immune system. The innate immune system is inherited from birth, and endows on the host non-specific recognition of pathogenic material. The adaptive (or acquired) immune system is afforded by the specific recognition of pathogenic material, and adapts over the lifetime of the host through a process of cloning, mutation, and selection. During the past decade, numerous novel computational models and algorithms have been developed based on such immunological principles. Artificial Immune Systems (AIS), inspired by the natural immune systems, are an emerging kind of soft computing paradigm. Applied to a wide variety of applications, the AIS have recently gained considerable research interest from different communities. Their successful industry applications include robotics, optimization, fault tolerance, process control, etc. …

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Metadata
Title
Special Issue on Artificial Immune Systems: Theory and Applications
Authors
Xiao-Zhi Gao
Mo-Yuen Chow
David Pelta
Jon Timmis
Publication date
01-06-2010
Publisher
Springer-Verlag
Published in
Neural Computing and Applications / Issue 4/2010
Print ISSN: 0941-0643
Electronic ISSN: 1433-3058
DOI
https://doi.org/10.1007/s00521-007-0136-4

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