Mean of results between executions of CEC'17 algorithms

A dataset containing the mean of the results of algorithms presented in the CEC'17 competition between iterations.

cec17.mean

Format

A data frame with 1044 rows and 17 variables:

Algorithm

Name of the algorithm. Value in {DES, DYYPO, IDEbestNsize, jSO, LSHADE_SPACMA, MM_OED, PPSO, RB-IPOP-CMA-ES, TLBO-FL}

Benchmark

Benchmark function, 1,3-30

Dimension

Dimension of the benchmark function: {10,30,50,100}

perc.completion.1

Result at 1percent of iterations.

perc.completion.2

Result at 2percent of iterations.

perc.completion.3

Result at 3percent of iterations.

perc.completion.5

Result at 5percent of iterations.

perc.completion.10

Result at 10percent of iterations.

perc.completion.20

Result at 20percent of iterations.

perc.completion.30

Result at 30percent of iterations.

perc.completion.40

Result at 40percent of iterations.

perc.completion.50

Result at 50percent of iterations.

perc.completion.60

Result at 60percent of iterations.

perc.completion.70

Result at 70percent of iterations.

perc.completion.80

Result at 80percent of iterations.

perc.completion.90

Result at 90percent of iterations.

perc.completion.100

Result at 100percent of iterations.