- Evolving Agent-based Models Using Complexification Approach
- Procedia Computer Science
- Pages (from-to)
- Document type
- Faculty of Science (FNWI)
- Informatics Institute (IVI)
This paper focuses on parameter search for multi-agent based models using evolutionary algorithms. Large numbers and variable dimensions of parameters require a search method which can efficiently handle a high dimensional search space. We are proposing the use of complexification as it emulates the natural way of evolution by starting with a small constrained search space and expanding it as the evolution progresses. We examined the effects of this method on an EA by evolving parameters for two multi-agent based models.
- go to publisher's site
- Proceedings title: 2014 International Conference on Computational Science
Place of publication: Amsterdam
Editors: D. Abramson, M. Lees, V. Krzhizhanovskaya, J. Dongarra, P.M.A. Sloot
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