A. Auger, Benchmarking the (1+1)-ES with one-fifth success rule on the BBOB-2009 noisy testbed, Proceedings of the 11th annual conference companion on Genetic and evolutionary computation conference, GECCO '09, pp.2453-2458
DOI : 10.1145/1570256.1570343

URL : https://hal.archives-ouvertes.fr/inria-00430516

A. Auger and N. Hansen, Benchmarking the (1+1)-CMA-ES on the BBOB-2009 noisy testbed, Proceedings of the 11th annual conference companion on Genetic and evolutionary computation conference, GECCO '09, pp.2467-2472
DOI : 10.1145/1570256.1570345

URL : https://hal.archives-ouvertes.fr/inria-00430518

A. Auger and R. Ros, Benchmarking the pure random search on the BBOB-2009 noisy testbed, Proceedings of the 11th annual conference companion on Genetic and evolutionary computation conference, GECCO '09, pp.2485-2490
DOI : 10.1145/1570256.1570348

URL : https://hal.archives-ouvertes.fr/inria-00430534

A. N. Peter, J. Bosman, D. Grahl, and . Thierens, AMaLGaM IDEAs in noisy black-box optimization benchmarking, Rothlauf [23], pp.2351-2358

M. El-abd and M. S. Kamel, Black-box optimization benchmarking for noiseless function testbed using an EDA and PSO hybrid, Proceedings of the 11th annual conference companion on Genetic and evolutionary computation conference, GECCO '09, pp.2263-2268
DOI : 10.1145/1570256.1570315

M. El-abd and M. S. Kamel, Black-box optimization benchmarking for noiseless function testbed using particle swarm optimization, Proceedings of the 11th annual conference companion on Genetic and evolutionary computation conference, GECCO '09, pp.2269-2274
DOI : 10.1145/1570256.1570316

M. El-abd and M. S. Kamel, Black-box optimization benchmarking for noiseless function testbed using PSO Bounds, Rothlauf [23], pp.2275-2280

S. Finck, N. Hansen, R. Ros, and A. Auger, Real-parameter black-box optimization benchmarking 2009: Presentation of the noisy functions, 2009.

R. Marcus and . Gallagher, Black-box optimization benchmarking: results for the BayEDAcG algorithm on the noisy function testbed, Rothlauf [23], pp.2383-2388

C. García-martínez and M. Lozano, A continuous variable neighbourhood search based on specialised EAs: application to the noisy BBObenchmark 2009 testbed, Rothlauf [23], pp.2367-2374

J. García-nieto, E. Alba, and J. Apolloni, Particle swarm hybridized with differential evolution, Proceedings of the 11th annual conference companion on Genetic and evolutionary computation conference, GECCO '09, pp.2343-2350
DOI : 10.1145/1570256.1570327

N. Hansen, A. Auger, S. Finck, and R. Ros, Real-parameter black-box optimization benchmarking 2009: Experimental setup, 2009.
URL : https://hal.archives-ouvertes.fr/inria-00362649

N. Hansen, S. Finck, R. Ros, and A. Auger, Real-parameter black-box optimization benchmarking 2009: Noisy functions definitions, 2009.
URL : https://hal.archives-ouvertes.fr/inria-00369466

G. S. Hornby, The age-layered popu- lation structure (ALPS) evolutionary algorithm, 2009.

W. Huyer and A. Neumaier, Benchmarking of MCS on the noisy function testbed

W. Huyer and A. Neumaier, Benchmark- ing of SNOBFIT on the noisy function testbed

P. Korosec and J. Silc, A stigmergy-based algorithm for black-box optimization, Proceedings of the 11th annual conference companion on Genetic and evolutionary computation conference, GECCO '09, pp.2375-2382
DOI : 10.1145/1570256.1570331

D. Molina, M. Lozano, and F. Herrera, A memetic algorithm using local search chaining for black-box optimization benchmarking 2009 for noisy functions, Proceedings of the 11th annual conference companion on Genetic and evolutionary computation conference, GECCO '09, pp.2359-2366
DOI : 10.1145/1570256.1570329

L. Pál, T. Csendes, M. C. Markót, and A. Neumaier, BBO-benchmarking of the GLOBAL method for the noisy function testbed

R. Ros, Benchmarking sep-CMA-ES on the BBOB-2009 noisy testbed, Proceedings of the 11th annual conference companion on Genetic and evolutionary computation conference, GECCO '09, pp.2441-2446
DOI : 10.1145/1570256.1570341

URL : https://hal.archives-ouvertes.fr/inria-00377090

R. Ros, Benchmarking the BFGS algorithm on the BBOB-2009 noisy testbed, Proceedings of the 11th annual conference companion on Genetic and evolutionary computation conference, GECCO '09, pp.2415-2420
DOI : 10.1145/1570256.1570337

URL : https://hal.archives-ouvertes.fr/inria-00377079

R. Ros, Benchmarking the NEWUOA on the BBOB-2009 noisy testbed, Proceedings of the 11th annual conference companion on Genetic and evolutionary computation conference, GECCO '09, pp.2429-2434
DOI : 10.1145/1570256.1570339

URL : https://hal.archives-ouvertes.fr/inria-00377083