Hybrid real-coded mutation for genetic algorithms applied to graph layouts
GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation
Hybrid multiobjective optimization genetic algorithms for graph drawing
Proceedings of the 9th annual conference on Genetic and evolutionary computation
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Summary form only given. In this paper, we present three algorithms that build graph layouts for undirected, weighted graphs. Our goal is to generate layouts that are consistent with the weights in the graph. We introduce tree algorithms and show that they can be successful in solving the problem up to a certain precision.