emoa: cec2007 – R documentation

Become an expert in R — Interactive courses, Cheat Sheets, certificates and more!

cec2007

CEC 2007 multiobjective optimization competition results

Description

This data set contains the hypervolume and R2 indicator results of the 8 different algorithms that took part in the CEC 2007 multiobjective optimization benchmark.

Usage

data(cec2007)

Format

A data frame with 456 observations of the following 9 variables.

algo: Abbreviated name of algorithm
fun: Name of benchmark function
d: Dimension of objective space
n: Number of function evaluations
metric: Name of quality metric
pdef: Unique id for each combination of fun, d, n and metric
best: Largest value of metric
median: Median value of metric
worst: Smallest value of metric
mean: Average value of metric
std: Standard deviation of metric

Source

http://web.mysites.ntu.edu.sg/epnsugan/PublicSite/Shared%20Documents/CEC2007-final-pdfs.zip

Examples

## Not run: 
  data(cec2007)
  require(lattice)
  print(dotplot(algo ~ median | fun + metric, cec2007, groups=cec2007$n))
  
## End(Not run)

emoa

Evolutionary Multiobjective Optimization Algorithms

v0.5-0.1

GPL-2

Authors

Olaf Mersmann <olafm@statistik.tu-dortmund.de>

Initial release