mean_FVs

mean_FVs.DataSetList

Get the expected function-values for all DataSets in a DataSetList at certain runtimes

The data analysis module for the Iterative Optimization Heuristics
Profiler ('IOHprofiler'). This module provides statistical analysis methods for the
benchmark data generated by optimization heuristics, which can be visualized through a
web-based interface. The benchmark data is usually generated by the
experimentation module, called 'IOHexperimenter'. 'IOHanalyzer' also supports
the widely used 'COCO' (Comparing Continuous Optimisers) data format for benchmarking.

Diederick Vermetten

IOHanalyzer

Data Analysis Part of 'IOHprofiler'

Hao Wang

Carola Doerr

Thomas Bäck

mean_FVs function

<dl><dt>dsList</dt>
<dd>The DataSetLsit</dd>
<dt>aggr_on</dt>
<dd>Whether to aggregate on 'funcId' or 'DIM'.</dd>
<dt>runtimes</dt>
<dd>Predifined target runtimes-values. Should be one for each function/dimension</dd></dl>

Arguments

Get the expected function-values for all DataSets in a DataSetList at certain runtimes — mean_FVs

<dl>

<dt>dsList</dt>
<dd>The DataSetLsit</dd>


<dt>aggr_on</dt>
<dd>Whether to aggregate on 'funcId' or 'DIM'.</dd>


<dt>runtimes</dt>
<dd>Predifined target runtimes-values. Should be one for each function/dimension</dd>

</dl>

mean_FVs: Get the expected function-values for all DataSets in a DataSetList at certain runtimes

Description

Usage

Value

Arguments

Examples