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.