An Evolutionary Algorithm for an Optimization Model of Edge Bundling
Joelma Ferreira, Hugo Nascimento, Les Foulds
2018
Abstract
This paper presents two edge bundling optimization problems that address minimizing the total number of bundles, in conjunction with other aspects, as the main goal. A novel evolutionary edge bundling algorithm for these problems is described. The algorithm was successfully tested by solving two related problems applied to real-world instances in reasonable computational time. The development and analysis of optimization models have received little attention in the area of edge bundling. However, the reported experimental results demonstrate the effectiveness and the applicability of the proposed evolutionary algorithm to help resolve edge bundling problems formally defined as optimization models.
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in Harvard Style
Ferreira J., Nascimento H. and Foulds L. (2018). An Evolutionary Algorithm for an Optimization Model of Edge Bundling. In Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2018) - Volume 2: IVAPP; ISBN 978-989-758-289-9, SciTePress, pages 132-143. DOI: 10.5220/0006626901320143
in Bibtex Style
@conference{ivapp18,
author={Joelma Ferreira and Hugo Nascimento and Les Foulds},
title={An Evolutionary Algorithm for an Optimization Model of Edge Bundling},
booktitle={Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2018) - Volume 2: IVAPP},
year={2018},
pages={132-143},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006626901320143},
isbn={978-989-758-289-9},
}
in EndNote Style
TY - CONF
JO - Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2018) - Volume 2: IVAPP
TI - An Evolutionary Algorithm for an Optimization Model of Edge Bundling
SN - 978-989-758-289-9
AU - Ferreira J.
AU - Nascimento H.
AU - Foulds L.
PY - 2018
SP - 132
EP - 143
DO - 10.5220/0006626901320143
PB - SciTePress