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EvoShelf: A System for Managing and Exploring Evolutionary Data

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Part of the Lecture Notes in Computer Science book series (LNTCS,volume 6239)

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.

Keywords

  • Particle Swarm Optimization
  • Evolutionary Data
  • Photo Album
  • Photo Management
  • Music Collection

These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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© 2010 Springer-Verlag Berlin Heidelberg

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Davison, T., von Mammen, S., Jacob, C. (2010). EvoShelf: A System for Managing and Exploring Evolutionary Data. In: Schaefer, R., Cotta, C., Kołodziej, J., Rudolph, G. (eds) Parallel Problem Solving from Nature, PPSN XI. PPSN 2010. Lecture Notes in Computer Science, vol 6239. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15871-1_32

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  • DOI: https://doi.org/10.1007/978-3-642-15871-1_32

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-15870-4

  • Online ISBN: 978-3-642-15871-1

  • eBook Packages: Computer ScienceComputer Science (R0)