Evolutionary Node Layout and Edge Bundling
Junsei Meikari, Ryosuke Saga · 2022 IEEE Congress on Evolutionary Computation (CEC) · 2022
This paper proposes a method that includes the process of adjusting the position of nodes in edge bundling by integrating an edge bundling and a node layout into a single genetic algorithm. Edge bundling is one of the graph visualization methods that can improve complex graphs and produce visually superior graphs. However, most edge bundling don't include the process of adjusting the position of nodes. Our approaches includes the process of adjusting the position of nodes in edge bundling by integrating an edge bundling and a node layout into genetic algorithm. Then, we apply our method to graphs and evaluate the generated graphs to investigate the effectiveness of our method.