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

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 May 31, 2023, 8:40 p.m.