EvoShelf: a system for managing and exploring evolutionary data

Authors:
Timothy Davison;Sebastian von Mammen;Christian Jacob
Affiliations:
Dept. of Computer Science, Faculty of Science, University of Calgary, Canada;Dept. of Computer Science, Faculty of Science, University of Calgary, Canada;Dept. of Computer Science, Faculty of Science and Dept. of Biochemistry & Molecular Biology, Faculty of Medicine, University of Calgary, Canada
Venue:
PPSN'10 Proceedings of the 11th international conference on Parallel problem solving from nature: Part II
Year:
2010

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Abstract

Systems that utilize evolutionary computation produce large amounts of data. Quite often, this data has a convenient visual representation. However, managing and visualizing evolutionary data can be a difficult and onerous task. By employing techniques used in photo management software, we have produced a system that helps to organize and visualize evolutionary data while retaining a complete record of a simulation. By means of a simple plugin architecture this system can be extended to import data produced by arbitrary evolutionary systems. We present the system's architecture, its features, and we provide a comprehensive example, highlighting its advantages in applied research.