Visualization of EC landscape to accelerate EC conversion and evaluation of its effect

F. Boschetti, Hideyuki Takagi

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

6 Citations (Scopus)


We evaluate how visualization of an evolutionary computation (EC) landscape is effective using a geophysical task. This technique allows us to actively participate in EC optimization by viewing the distribution of searching points on 2-D space mapped from an n-D EC landscape, and indicating where in the EC is the possible global optimum. We construct a Visualized GA system that includes self-organizing maps for visualization and compare its performance with that of a normal GA using the geophysical simulation task. Sign tests for the comparisons show that the Visualized GA converges significantly faster than the normal EC (p < 001), which suggests further extensions to enhance user interactivity.

Original languageEnglish
Title of host publicationProceedings of the IEEE Conference on Evolutionary Computation, ICEC
Number of pages7
Publication statusPublished - 2001
Externally publishedYes
EventCongress on Evolutionary Computation 2001 - Seoul, Korea, Republic of
Duration: May 27 2001May 30 2001


OtherCongress on Evolutionary Computation 2001
Country/TerritoryKorea, Republic of

All Science Journal Classification (ASJC) codes

  • Computer Science(all)
  • Engineering(all)


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