IOHanalyzer: IOHanalyzer: Data Analysis Part of IOHprofiler

In IOHanalyzer: Data Analysis Part of 'IOHprofiler'

IOHanalyzer: Data Analysis Part of IOHprofiler

Description

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.

Functions

The IOHanalyzer consists of 3 main functionalities:

• Reading and alligning data from different heuristics, such as IOHExperimenter. This is done using the DataSet and DataSetList functions

• Processing and summarizing this data

• Creating various plots

Author(s)

Maintainer: Diederick Vermetten [e-mail] (ORCID)

Authors:

• Hao Wang [e-mail] (ORCID)

• Carola Doerr [e-mail] (ORCID)

• Thomas Bäck [e-mail] (ORCID)

See Also

Useful links:

• https://iohanalyzer.liacs.nl

• https://github.com/IOHprofiler/IOHAnalyzer

• Report bugs at https://github.com/IOHprofiler/IOHAnalyzer/issues

Examples

path <- system.file("extdata", "ONE_PLUS_LAMDA_EA", package="IOHanalyzer")
dsList <- DataSetList(path)
summary(dsList)
Plot.RT.Single_Func(dsList[1])

## Not run: 
runServer()

## End(Not run)

IOHanalyzer documentation built on Sept. 20, 2023, 5:07 p.m.