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:

.tg {border-collapse:collapse;border-spacing:0;} .tg td{font-family:Arial, sans-serif;font-size:14px;padding:10px 5px;border-style:solid;border-width:1px;overflow:hidden;word-break:normal;border-color:black;} .tg th{font-family:Arial, sans-serif;font-size:14px;font-weight:normal;padding:10px 5px;border-style:solid;border-width:1px;overflow:hidden;word-break:normal;border-color:black;} .tg .tg-0pky{border-color:inherit;text-align:left;vertical-align:top} Data Summary Expected Values Probability Density/Mass Function Empirical Cumulative Distribution (ECDF) Fixed-Target running time Summary of running times Expected Running Time (ERT) Probability Mass Function of running time ECDF of running times Fixed-Budget results Summary of function values Expected Target Value Probability Density Function of target values 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.

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IOHanalyzer documentation built on Oct. 21, 2021, 5:06 p.m.