Comparison Tables: BBOB 2009 Noisy Testbed

This document presents the results in the form of tables from the Black-Box Optimization Benchmarking (BBOB) workshop of the Genetic and Evolutionary Computation Conference (GECCO), Montreal Canada, 2009. Each table presents the comparative performances of the algorithms submitted to BBOB 2009 on one problem from the noisy function testbed.

[1]  Dirk Thierens,et al.  AMaLGaM IDEAs in noiseless black-box optimization benchmarking , 2009, GECCO '09.

[2]  Jurij Silc,et al.  A stigmergy-based algorithm for black-box optimization: noiseless function testbed , 2009, GECCO '09.

[3]  Nikolaus Hansen,et al.  Benchmarking a BI-population CMA-ES on the BBOB-2009 function testbed , 2009, GECCO '09.

[4]  Anne Auger,et al.  Benchmarking the pure random search on the BBOB-2009 testbed , 2009, GECCO '09.

[5]  Anne Auger,et al.  Real-Parameter Black-Box Optimization Benchmarking 2009: Noiseless Functions Definitions , 2009 .

[6]  Raymond Ros,et al.  Benchmarking the NEWUOA on the BBOB-2009 noisy testbed , 2009, GECCO '09.

[7]  Raymond Ros,et al.  Benchmarking sep-CMA-ES on the BBOB-2009 noisy testbed , 2009, GECCO '09.

[8]  Anne Auger,et al.  Benchmarking the (1+1)-CMA-ES on the BBOB-2009 function testbed , 2009, GECCO '09.

[9]  N. Hansen,et al.  Real-Parameter Black-Box Optimization Benchmarking: Experimental Setup , 2010 .

[10]  Marcus Gallagher,et al.  Black-box optimization benchmarking: results for the BayEDAcG algorithm on the noiseless function testbed , 2009, GECCO '09.

[11]  Raymond Ros,et al.  Benchmarking the BFGS algorithm on the BBOB-2009 function testbed , 2009, GECCO '09.

[12]  Mihály Csaba Markót,et al.  BBO-Benchmarking of the GLOBAL method for the Noiseless Function Testbed , 2009 .

[13]  Mohammed El-Abd,et al.  Black-box optimization benchmarking for noiseless function testbed using an EDA and PSO hybrid , 2009, GECCO '09.