Nanas, Nikolaos and De Roeck, Anne
(2007).
| DOI (Digital Object Identifier) Link: | https://doi.org/10.1007/978-3-540-73922-7 |
|---|---|
| Google Scholar: | Look up in Google Scholar |
Abstract
Multimodal Dynamic Optimisation is a challenging problem, used in this paper as a framework for the qualitative comparison between Evolutionary Algorithms and Artificial Immune Systems. It is argued that while Evolutionary Algorithms have inherent diversity problems that do not allow them to successfully deal with multimodal dynamic optimisation, the biological immune system involves natural processes for maintaining and boosting diversity and thus serves well as a metaphor for tackling this problem. We review the basic evolutionary and immune-inspired approaches to multimodal dynamic optimisation, we identify correspondences and differences and point out essential computation elements.
| Item Type: | Book Section |
|---|---|
| ISBN: | 3-540-73921-1, 978-3-540-73921-0 |
| Academic Unit/School: | Faculty of Science, Technology, Engineering and Mathematics (STEM) > Computing and Communications Faculty of Science, Technology, Engineering and Mathematics (STEM) |
| Interdisciplinary Research Centre: | Centre for Research in Computing (CRC) |
| Item ID: | 15644 |
| Depositing User: | Colin Smith |
| Date Deposited: | 20 Apr 2009 11:30 |
| Last Modified: | 04 Oct 2016 10:20 |
| URI: | http://oro.open.ac.uk/id/eprint/15644 |
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