An XML format for sharing evolutionary algorithm output and analysis

Authors:
Dharani Punithan;Jerome Marhic;Kangil Kim;Jakramate Bootkrajang;R. I. McKay;Naoki Mori
Affiliations:
Structural Compexity Laboratory, Seoul National University, Korea;Computer Science Dept, INSA de Rennes, France;Structural Compexity Laboratory, Seoul National University, Korea;School of Computer Science, University of Birmingham, UK;Structural Compexity Laboratory, Seoul National University, Korea;Computer and Systems Science Dept, Osaka Prefecture University, Japan
Venue:
SEAL'10 Proceedings of the 8th international conference on Simulated evolution and learning
Year:
2010

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Abstract

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.