Evolutionary Meta Layout of Graphs

作者: Miro Spönemann

DOI: 10.1007/978-3-662-44043-8_3

关键词:

摘要: A graph drawing library is like a toolbox, allowing experts to select and configure specialized algorithm in order meet the requirements of their diagram visualization application. However, without expert knowledge algorithms potential such toolbox cannot be fully exploited. This gives rise question whether process selecting configuring layout can automated that good layouts are produced. In this paper we call kind automation “meta layout.” We propose genetic representation used meta heuristics for contribute new metrics evaluation drawings. Furthermore, examine use an evolutionary search optimal solutions evaluate approach both with automatic experiments user study.

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