Estimator 'SP' for the Expected Running Time (ERT)

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

SP function

<dl><dt>data</dt>
<dd>A dataframe or matrix. Each row stores the runtime sample points from
several runs</dd>
<dt>max_runtime</dt>
<dd>The budget to use for calculating ERT. If this is a vector, the largest value is taken.
Using this as a vector is being deprecated, and will be removed in a future update</dd></dl>

Arguments

Estimator 'SP' for the Expected Running Time (ERT) — SP

<dl>

<dt>data</dt>
<dd>A dataframe or matrix. Each row stores the runtime sample points from
several runs</dd>


<dt>max_runtime</dt>
<dd>The budget to use for calculating ERT. If this is a vector, the largest value is taken.
Using this as a vector is being deprecated, and will be removed in a future update</dd>

</dl>

SP: Estimator 'SP' for the Expected Running Time (ERT)

Description

Usage

Value

Arguments

Examples