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# Use of graph kernels in Estimation of Distribution Algorithms

@article{Handa2012UseOG, title={Use of graph kernels in Estimation of Distribution Algorithms}, author={Hisashi Handa}, journal={2012 IEEE Congress on Evolutionary Computation}, year={2012}, pages={1-6} }

- Published 2012 in 2012 IEEE Congress on Evolutionary Computation
DOI:10.1109/CEC.2012.6252994

The graph-related problems, which solutions are represented by graphs, have attracted much attention since there are a large number of application areas in bioinformatics and social science. In this paper, we propose a novel Estimation of Distribution Algorithm which can effectively cope with graphs. The proposed method employs graph kernels in estimation and sampling phases in the EDAs. The preliminary experiments on edge-max problems and edge-min problems elucidate the effectiveness of the… CONTINUE READING

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