JADE, an adaptive differential evolution algorithm, benchmarked on the BBOB noiseless testbed
Petr Pošík, Václav Klemš · 2012
JADE, an adaptive version of the differential evolution (DE) algorithm, is benchmarked on the testbed of 24 noiseless functions chosen for the Black-Box Optimization Benchmarking workshop. The results of full-featured JADE are then compared with the results of 3 other DE variants ("downgraded" JADE variants) to reveal the contributions of the algorithm components. Another adaptive DE variant benchmarked during BBOB 2010 is used as a reference algorithm. The results confirm that the original JADE outperforms the other (JA)DE versions, while the comparison with the other adaptive DE shows that the different sources of adaptivity make the algorithms suitable for different functions.