This is the BBOB 2012 results page and here are the results from the workshop held at GECCO in July 2012.
The figures below show selected results from BBOB 2012. The empirical runtime distribution is shown for all (bottom right) and three subgroups of the noisy BBOB functions. Click on the respective figures for more details.
The following tables display (the same) results relative to the best result of 2009. They can be therefore more easily compared to the result tables from BBOB-2009.
Comparison tables per function: noiseless testbed dimensions 2-40:
pdf
Comparison tables per function: noisy testbed dimensions 2-40:
pdf
The following tables display (the same) results relative to the best result of 2009. They can be therefore more easily compared to the result tables from BBOB-2009.
Comparison tables per function: noiseless testbed 2-D:
pdf
Comparison Tables per function: noiseless testbed 3-D:
pdf
Comparison Tables per function: noiseless testbed 5-D:
pdf
Comparison Tables per function: noiseless testbed 10-D:
pdf
Comparison Tables per function: noiseless testbed 20-D:
pdf
Comparison Tables per function: noiseless testbed 40-D:
pdf
Comparison tables per function: noisy testbed 2-D:
pdf
Comparison Tables per function: noisy testbed 3-D:
pdf
Comparison Tables per function: noisy testbed 5-D:
pdf
Comparison Tables per function: noisy testbed 10-D:
pdf
Comparison Tables per function: noisy testbed 20-D:
pdf
Comparison Tables per function: noisy testbed 40-D:
pdf
Ilya Loshchilov, Marc Schoenauer, and Michèle Sebag: Black-Box Optimization Benchmarking of IPOP-SaACM-ES and Bipop-SaACM-ES on the BBOB-2012 Noiseless Testbed
BIPOPsaACM IPOPsaACM
Ilya Loshchilov, Marc Schoenauer, and Michèle Sebag: Black-box Optimization Benchmarking of NIPOP-aCMA-ES and NBIPOP-aCMA-ES on the BBOB-2012 Noiseless Testbed
BIPOPaCMA NBIPOP and NBIPOPaCMA
Ilya Loshchilov, Marc Schoenauer, and Michèle Sebag: Black-box Optimization Benchmarking of IPOP-saACM-ES on the BBOB-2012 Noisy Testbed
IPOPsaACMnoisy
Petr Pošík and Václav Klemš: Benchmarking the Differential Evolution with Adaptive Encoding on Noiseless Functions (
DEAE,
JADE,
DE,
CMAES)
Petr Pošík and Václav Klemš: JADE, an Adaptive Differential Evolution Algorithm, Benchmarked on the BBOB Noiseless Testbed (
JADEctpb,
JADEb,
DEctpb,
DEb)