This the analyzer for the empirical performance of Iterative Optimization Heuristics (IOHs). It provides two perspectives to look at the empirical performance:
To get started, you could
In details, the following functionalities are provided:
Data Summary | Expected Values | Probability Density/Mass Function | Empirical Cumulative Distribution (ECDF) | |
---|---|---|---|---|
Fixed-Target running time | <a href=“#shiny-tab-ERT_data”, data-toggle=“tab”>Summary of running times | <a href=“#shiny-tab-ERT_convergence”, data-toggle=“tab”>Expected Running Time (ERT) | <a href=“#shiny-tab-RT_PMF”, data-toggle=“tab”>Probability Mass Function of running time | <a href=“#shiny-tab-RT_ECDF”, data-toggle=“tab”>ECDF of running times |
Fixed-Budget results | <a href=“#shiny-tab-FCE_DATA”, data-toggle=“tab”>Summary of function values | <a href=“#shiny-tab-FCE_convergence”, data-toggle=“tab”>Expected Target Value | <a href=“#shiny-tab-FCE_PDF”, data-toggle=“tab”>Probability Density Function of target values | <a href=“#shiny-tab-FCE_ECDF”, data-toggle=“tab”>ECDF of targets times |
For more information on the features of IOHanalyzer and how to use them, as well as a full specification of the accepted data formats, please visit our wiki.