cec2007: CEC 2007 multiobjective optimization competition results

In emoa: Evolutionary Multiobjective Optimization Algorithms

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

Formerly available at 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 documentation built on Sept. 11, 2024, 8:57 p.m.