2006 International Conference on Computational Intelligence and Security 2006
DOI: 10.1109/iccias.2006.294161
|View full text |Cite
|
Sign up to set email alerts
|

Artificial Immune Networks: Models and Applications

Abstract: Artificial Immune Systems (AIS), which is inspired by the nature immune system, has been applied for solving complex computational problems in classification, pattern recognition, and optimization. In this paper, the theory of the natural immune system is first briefly introduced. Next, we compare some well-known AIS and their applications. Several representative artificial immune networks models are also discussed. Moreover, we demonstrate the applications of artificial immune networks in various engineering … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2009
2009
2023
2023

Publication Types

Select...
4
1

Relationship

0
5

Authors

Journals

citations
Cited by 10 publications
(1 citation statement)
references
References 12 publications
0
1
0
Order By: Relevance
“…A rational decision will maximise the decisions makers utility [24], and it is therefore mandatory that the optimizer has a way to assess the utility seen from each application owner of a particular application configuration prior to enacting this configuration. The best way to represent the application owner's utility is arguably through a representative utility function [25]. This will allow the optimiser to find the combined set of resources and application configuration that maximises the application's utility.…”
Section: ) Optimizermentioning
confidence: 99%
“…A rational decision will maximise the decisions makers utility [24], and it is therefore mandatory that the optimizer has a way to assess the utility seen from each application owner of a particular application configuration prior to enacting this configuration. The best way to represent the application owner's utility is arguably through a representative utility function [25]. This will allow the optimiser to find the combined set of resources and application configuration that maximises the application's utility.…”
Section: ) Optimizermentioning
confidence: 99%