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- Title
- A population-based clonal selection algorithm and extensions
- Author(s)
- Brownlee, Jason
- Abstract
- Immune systems do not exist in isolation, rather the cellular and molecular interactions occur within the tissues of a host, and populations of hosts exist together in an environment. This work investigates the relationship between the acquired immune system and a pathogenic environment at the ‘hostpopulation’ scale. A minimal population-based clonal selection algorithm is proposed and extend to include the host-population immunological principles of inter-population pathogen dynamics, vaccination/inoculation, and transplanted acquired immune cells.
- Publication type
- Technical report
- Research centre
- Swinburne University of Technology. Faculty of Information and Communication Technologies. Centre for Information Technology Research
- Source
- Complex Intelligent Systems : technical reports
- Publication year
- 2007
- Keyword(s)
- Acquired immune system; Artificial immune system; Clonal selection; Clonal selection algorithms; CSA; Host; Population
- Publisher
- Swinburne University of Technology
- Publisher URL
- http://www.ict.swin.edu.au/personal/jbrownlee/#2007
- Copyright
- Copyright © 2007 Jason Brownlee.
- Full text
