Title:
GraphGA-TabuHierarchicalLayout
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Description: This article presents one of the most famous hierarchical graph drawing algorithms. Starting from a hierarchical graph we create a population of chromozoms that will be used in a Genetic Algorithm to get the best subjective representation: minimal edge crossing. Minimal esge crossing is the most important aspect in aesthetic graph drawing(planar drawing). Hierarchical graph with a hierarchical drawin using multiple layer has a great importnace in data mining software solution.
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- [File3] - Data mining, clustering, genetic algorit
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GraphGA-TabuHierarchicalLayout.pdf
