VISPLORE: Exploring Particle Swarms by Visual Inspection

  • Namrata Khemka
  • Christian Jacob
Part of the Adaptation, Learning, and Optimization book series (ALO, volume 5)


We describe VISPLORE, a visualization and experimentation environment for population-based search algorithms. Using particle swarm optimization (PSO) as an example, we demonstrate the advantages of an interactive visualization tool for multi-dimensional data. VISPLORE greatly supports the analysis of time dependent data sets, as they are produced by evolutionary optimization algorithms. We demonstrate various multi-dimensional visualization techniques, as built into VISPLORE, which help to understand the dynamics of stochastic search algorithms.


Particle Swarm Optimization Search Space Particle Swarm Density Plot Particle Swarm Algorithm 
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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Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Namrata Khemka
    • 1
  • Christian Jacob
    • 2
  1. 1.Dept. of Computer ScienceUniversity of CalgaryCalgaryCanada
  2. 2.Dept. of Computer Science, Dept. of Biochemistry and Molecular BiologyUniversity of CalgaryCalgaryCanada

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