Advancement in the twentieth century in artificial immune systems for optimization: Review and future outlook

Research in Artificial Immune Systems (AIS) for optimization has attracted attention in recent years. Exploration and adoption of the inspired immune theories in clonal selection, immune network, negative selection, and danger signaling is becoming a popular basis for algorithm design for solving op...

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Bibliographic Details
Published in2009 IEEE International Conference on Systems, Man and Cybernetics pp. 4195 - 4202
Main Authors Wong, Eugene Y. C., Lau, Henry Y. K.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.10.2009
Subjects
Algorithm design and analysis
Artificial immune systems
Cells (biology)
Cloning
Clustering algorithms
Cybernetics
Design optimization
future outlook
Immune system
Intrusion detection
optimization
Pareto optimization
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ISBN9781424427932
1424427932
ISSN1062-922X
DOI10.1109/ICSMC.2009.5346835

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Summary:Research in Artificial Immune Systems (AIS) for optimization has attracted attention in recent years. Exploration and adoption of the inspired immune theories in clonal selection, immune network, negative selection, and danger signaling is becoming a popular basis for algorithm design for solving optimization problems, especially on multi-objective optimizations. Novel algorithms are design, benchmarked and applied to real life applications. This paper aims to review and outlook on the latest development of AIS-based algorithms in the recent decade. An analysis of the AIS applications is also discussed.
ISBN:9781424427932
1424427932
ISSN:1062-922X
DOI:10.1109/ICSMC.2009.5346835