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- Title
- A generational population-based clonal selection algorithm and extensions
- Author(s)
- Brownlee, Jason
- Abstract
- Host organisms with acquired immune systems reproduce, perpetuating their population. The creation of progeny hosts by a parental population introduces a generational relationship, which may be reduced to a lock-step population in which the present population is replaced by a created progeny population. This work extends the previously defined host-based population-based algorithm by introducing the generational principle. Extension of a minimal generational algorithm facilitates inter-generational information sharing inspired by maternal immunity and neo-Darwinian evolution.
- 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)
- AIS; Artificial immune system; Clonal selection; Evolution; Generational; Maternal immunity; Natural selection
- Publisher
- Swinburne University of Technology
- Publisher URL
- http://www.ict.swin.edu.au/personal/jbrownlee/#2007
- Copyright
- Copyright © 2007 Jason Brownlee.
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