Evolving Agent-based Models Using Complexification Approach
| Authors |
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| Publication date | 2014 |
| Journal | Procedia Computer Science |
| Event | International Conference on Computational Science, ICCS 2014 |
| Volume | Issue number | 29 |
| Pages (from-to) | 310-321 |
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| Abstract | 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. |
| Document type | Article |
| Note | Proceedings title: 2014 International Conference on Computational Science Publisher: Elsevier Place of publication: Amsterdam Editors: D. Abramson, M. Lees, V. Krzhizhanovskaya, J. Dongarra, P.M.A. Sloot |
| Language | English |
| Published at | https://doi.org/10.1016/j.procs.2014.05.028 |
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Evolving Agent-based Models
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