Adapting operator probabilities in genetic algorithms
Proceedings of the third international conference on Genetic algorithms
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Graph Drawing: Algorithms for the Visualization of Graphs
Graph Drawing: Algorithms for the Visualization of Graphs
Setting The Mutation Rate: Scope And Limitations Of The 1/L Heuristic
GECCO '02 Proceedings of the Genetic and Evolutionary Computation Conference
Consistent graph layout for weighted graphs
AICCSA '05 Proceedings of the ACS/IEEE 2005 International Conference on Computer Systems and Applications
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In this paper we introduce an application of real-coded genetic algorithms to the problem of consistent graph layout and exploring the role of mutation for this particular problem. We introduce several forms of mutation, some of which being specific to this problem, and show that the choice of this operator can have a great impact on the performance of the algorithm.