Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/104879
Title: Evolving agent-based models using complexification approach
Authors: Wagner, Michael
Cai, Wentong
Lees, Michael H.
Aydt, Heiko
Keywords: DRNTU::Engineering::Computer science and engineering
Issue Date: 2014
Source: Wagner, M., Cai, W., Lees, M. H., & Aydt, H. (2014). Evolving Agent-based Models Using Complexification Approach. Procedia Computer Science, 29, 310-321.
Series/Report no.: Procedia computer science
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.
URI: https://hdl.handle.net/10356/104879
http://hdl.handle.net/10220/20280
ISSN: 1877-0509
DOI: 10.1016/j.procs.2014.05.028
Rights: © 2014 The Authors. This paper was published in Procedia Computer Science and is made available as an electronic reprint (preprint) with permission of Elsevier B. V. The paper can be found at the following official DOI: [http://dx.doi.org/10.1016/j.procs.2014.05.028]. One print or electronic copy may be made for personal use only. Systematic or multiple reproduction, distribution to multiple locations via electronic or other means, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper is prohibited and is subject to penalties under law.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:SCSE Journal Articles

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