Visualized IEC: Interactive evolutionary computation with multidimensional data visualization

N. Hayashida, H. Takagi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

31 Citations (Scopus)


We propose Visualized IEC as an interactive evolutionary computation (IEC) with visualizing individuals in a multidimensional searching space in a 2D space. This visualization helps us envision the landscape of an n-D searching space; so that it is easier for us to join an EC search, by indicating the possible global optimum estimated in the 2D mapped space. We experimentally evaluate the effect of visualization using a benchmark function. We use self-organizing maps for this projection of individuals onto a 2D space. The experimental result shows that the convergence speed of the GA with human search on the visualized space is at least five times faster than a conventional GA.

Original languageEnglish
Title of host publicationIECON Proceedings (Industrial Electronics Conference)
PublisherIEEE Computer Society
Number of pages6
Publication statusPublished - 2000

Publication series

NameIECON Proceedings (Industrial Electronics Conference)

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Electrical and Electronic Engineering


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