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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | North, Michael J. Sydelko, Pam Martinez-Moyano, Ignacio |
| Copyright Year | 2015 |
| Description | Author affiliation: Argonne National Laboratory, 9700 S. Cass Avenue, IL, USA 60439 (North, Michael J.; Sydelko, Pam; Martinez-Moyano, Ignacio) |
| Abstract | In this paper we apply 3D printing and genetic algorithm-generated anticipatory system dynamics models to a homeland security challenge, namely understanding the interface between transnational organized criminal networks and local gangs. We apply 3D printing to visualize the complex criminal networks involved. This allows better communication of the network structures and clearer understanding of possible interventions. We are applying genetic programming to automatically generate anticipatory system dynamics models. This will allow both the structure and the parameters of system dynamics models to evolve. This paper reports the status of work in progress. This paper builds on previous work that introduced the use of genetic programs to automatically generate system dynamics models. This paper's contributions are that it introduces the use of 3D printing techniques to visualize complex networks and that it presents in more detail our emerging approach to automatically generating anticipatory system dynamics in weakly constrained, data-sparse domains. |
| Starting Page | 2511 |
| Ending Page | 2522 |
| File Size | 1674589 |
| Page Count | 12 |
| File Format | |
| ISSN | 15584305 |
| e-ISBN | 9781467397438 |
| DOI | 10.1109/WSC.2015.7408361 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2015-12-06 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Visualization Genetic algorithms Heuristic algorithms Biological system modeling Energy resolution Genetics Printing |
| Content Type | Text |
| Resource Type | Article |
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