Analysis of artificial evolutionary systems uses post-processing to extract information from runs. Many effective methods have been developed, but format incompatibilities limit their adoption. We propose a solution combining XML and compression, which imposes modest overhead. We describe the steps to integrate our schema in existing systems and tools, demonstrating a realistic application. We measure the overhead relative to current methods, and discuss the extension of this approach into a community-wide standard representation. © 2010 Springer-Verlag.
CITATION STYLE
Punithan, D., Marhic, J., Kim, K., Bootkrajang, J., McKay, R. I., & Mori, N. (2010). An XML format for sharing evolutionary algorithm output and analysis. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6457 LNCS, pp. 384–388). https://doi.org/10.1007/978-3-642-17298-4_41
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