Final mean results of CEC'17 algorithms

A dataset containing the final results of algorithms presented in the CEC'17 competition.

cec17.final

Format

A data frame with 1276 rows and 4 variables:

Algorithm

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

Benchmark

Benchmark function, 1,3-30

Dimension

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

Result

Result at 100percent of iterations.