Title:	Evolutionary-Edge Bundling with Concatenation Process of Control Points
Authors:	Saga, Ryosuke Baek, Jaeyoung
Citation:	WSCG 2023: full papers proceedings: 1. International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, p. 284-291.
Issue Date:	2023
Publisher:	Václav Skala - UNION Agency
Document type:	konferenční příspěvek conferenceObject
URI:	http://hdl.handle.net/11025/54435
ISBN:	978-80-86943-32-9
ISSN:	2464–4617 (print) 2464–4625 (CD/DVD)
Keywords:	okrajové sdružování;genetický algoritmus;diagram uzel-link;informační vizualizace;sdružování okrajů založené na genetickém algoritmu;GABEB
Keywords in different language:	edge bundling;genetic algorithm;node-link diagram;information visualization;Genetic Algorithm-based Edge Bundling;GABEB
Abstract in different language:	Edge bundling is one of the information visualization techniques, which bundle the edges of a network diagram based on certain rules to increase the visibility of the network diagram and facilitate the analysis of key relationships among nodes. As one of evolutionary-based edge bundling, genetic algorithm-based edge bundling (called GABEB) is proposed which uses a genetic algorithm to optimize the placement of edges based on aesthetic criteria. However, it does not sufficiently consider the bundling between neighboring edges, and thus visual clutter issues still remain. Based on the above background, we propose an improved bundling method that considers the concatenating of control points at each edge using GABEB.
Rights:	© Václav Skala - UNION Agency
Appears in Collections:	WSCG 2023: Full Papers Proceedings

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