Evolving agent-based models using complexification approach

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...

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Main Authors:	Wagner, Michael, Cai, Wentong, Lees, Michael H., Aydt, Heiko
Other Authors:	School of Computer Engineering
Format:	Article
Language:	English
Published:	2014
Subjects:	DRNTU::Engineering::Computer science and engineering
Online Access:	https://hdl.handle.net/10356/104879 http://hdl.handle.net/10220/20280
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Institution:	Nanyang Technological University
Language:	English

id	sg-ntu-dr.10356-104879
record_format	dspace
spelling	sg-ntu-dr.10356-1048792020-05-28T07:17:39Z Evolving agent-based models using complexification approach Wagner, Michael Cai, Wentong Lees, Michael H. Aydt, Heiko School of Computer Engineering DRNTU::Engineering::Computer science and engineering 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. Published version 2014-08-14T08:39:18Z 2019-12-06T21:41:50Z 2014-08-14T08:39:18Z 2019-12-06T21:41:50Z 2014 2014 Journal Article Wagner, M., Cai, W., Lees, M. H., & Aydt, H. (2014). Evolving Agent-based Models Using Complexification Approach. Procedia Computer Science, 29, 310-321. 1877-0509 https://hdl.handle.net/10356/104879 http://hdl.handle.net/10220/20280 10.1016/j.procs.2014.05.028 en Procedia computer science © 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. application/pdf
institution	Nanyang Technological University
building	NTU Library
country	Singapore
collection	DR-NTU
language	English
topic	DRNTU::Engineering::Computer science and engineering
spellingShingle	DRNTU::Engineering::Computer science and engineering Wagner, Michael Cai, Wentong Lees, Michael H. Aydt, Heiko Evolving agent-based models using complexification approach
description	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.
author2	School of Computer Engineering
author_facet	School of Computer Engineering Wagner, Michael Cai, Wentong Lees, Michael H. Aydt, Heiko
format	Article
author	Wagner, Michael Cai, Wentong Lees, Michael H. Aydt, Heiko
author_sort	Wagner, Michael
title	Evolving agent-based models using complexification approach
title_short	Evolving agent-based models using complexification approach
title_full	Evolving agent-based models using complexification approach
title_fullStr	Evolving agent-based models using complexification approach
title_full_unstemmed	Evolving agent-based models using complexification approach
title_sort	evolving agent-based models using complexification approach
publishDate	2014
url	https://hdl.handle.net/10356/104879 http://hdl.handle.net/10220/20280
_version_	1681058561299316736

Evolving agent-based models using complexification approach

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