BBOB 2009: Comparison Tables of All Algorithms on All Noiseless Functions

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 function testbed.

[1]  Petr Posík,et al.  BBOB-benchmarking the DIRECT global optimization algorithm , 2009, GECCO '09.

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

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

[4]  Mohammed El-Abd,et al.  Black-box optimization benchmarking for noiseless function testbed using PSO_bounds , 2009, GECCO '09.

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

[6]  Anne Auger,et al.  Benchmarking the (1,4)-CMA-ES with mirrored sampling and sequential selection on the noiseless BBOB-2010 testbed , 2010, GECCO '10.

[7]  Jirí Kubalík,et al.  Comparison of cauchy EDA and pPOEMS algorithms on the BBOB noiseless testbed , 2010, GECCO '10.

[8]  Raymond Ros,et al.  Comparison of NEWUOA with different numbers of interpolation points on the BBOB noiseless testbed , 2010, GECCO '10.

[9]  Petr Posík,et al.  BBOB-benchmarking the Rosenbrock's local search algorithm , 2009, GECCO '09.

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

[11]  Raymond Ros,et al.  Real-Parameter Black-Box Optimization Benchmarking 2009: Experimental Setup , 2009 .

[12]  Edmund K. Burke,et al.  The Genetic and Evolutionary Computation Conference , 2011 .

[13]  Petr Posík,et al.  BBOB-benchmarking two variants of the line-search algorithm , 2009, GECCO '09.

[14]  Julian F. Miller,et al.  Genetic and Evolutionary Computation — GECCO 2003 , 2003, Lecture Notes in Computer Science.

[15]  Álvaro Fialho,et al.  Probability matching-based adaptive strategy selection vs. uniform strategy selection within differential evolution: an empirical comparison on the bbob-2010 noiseless testbed , 2010, GECCO '10.

[16]  Jirí Kubalík,et al.  Black-box optimization benchmarking of two variants of the POEMS algorithm on the noiseless testbed , 2010, GECCO '10.

[17]  Anne Auger,et al.  Investigating the impact of sequential selection in the (1,2)-CMA-ES on the noiseless BBOB-2010 testbed , 2010, GECCO '10.

[18]  Jirí Kubalík,et al.  Black-box optimization benchmarking of prototype optimization with evolved improvement steps for noiseless function testbed , 2009, GECCO '09.

[19]  Mike Preuss,et al.  Niching the CMA-ES via nearest-better clustering , 2010, GECCO '10.

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

[21]  Anne Auger,et al.  Comparing the (1+1)-CMA-ES with a mirrored (1+2)-CMA-ES with sequential selection on the noiseless BBOB-2010 testbed , 2010, GECCO '10.

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

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

[24]  Anne Auger,et al.  Mirrored variants of the (1,2)-CMA-ES compared on the noiseless BBOB-2010 testbed , 2010, GECCO '10.

[25]  Carlos García-Martínez,et al.  A continuous variable neighbourhood search based on specialised EAs: application to the noiseless BBO-benchmark 2009 , 2009, GECCO '09.

[26]  G. Hornby.  The Age-Layered Population Structure (ALPS) Evolutionary Algorithm , 2009 .

[27]  Nikolaus Hansen,et al.  Benchmarking the nelder-mead downhill simplex algorithm with many local restarts , 2009, GECCO '09.

[28]  Riccardo Poli,et al.  Genetic and Evolutionary Computation , 2006, Intelligenza Artificiale.

[29]  Petr Posík,et al.  Comparison of cauchy EDA and BIPOP-CMA-ES algorithms on the BBOB noiseless testbed , 2010, GECCO '10.

[30]  Gang-Gyoo Jin,et al.  Real-coded genetic algorithm benchmarked on noiseless black-box optimization testbed , 2010, GECCO '10.

[31]  Mohammed El-Abd,et al.  Black-box optimization benchmarking for noiseless function testbed using particle swarm optimization , 2009, GECCO '09.

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

[33]  Petr Posík,et al.  BBOB-benchmarking the generalized generation gap model with parent centric crossover , 2009, GECCO '09.

[34]  Petr Posík,et al.  BBOB-benchmarking a simple estimation of distribution algorithm with cauchy distribution , 2009, GECCO '09.

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

[36]  Antonio LaTorre,et al.  Benchmarking a MOS-based algorithm on the BBOB-2010 noiseless function testbed , 2010, GECCO '10.

[37]  José García-Nieto,et al.  Noiseless functions black-box optimization: evaluation of a hybrid particle swarm with differential operators , 2009, GECCO '09.

[38]  Raymond Ros,et al.  Benchmarking a weighted negative covariance matrix update on the BBOB-2010 noiseless testbed , 2010, GECCO '10.

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

[40]  Francisco Herrera,et al.  A memetic algorithm using local search chaining forblack-box optimization benchmarking 2009 for noise free functions , 2009, GECCO '09.

[41]  Gang-Gyoo Jin,et al.  Benchmarking real-coded genetic algorithm on noisy black-box optimization testbed , 2010, GECCO '10.

[42]  Anne Auger,et al.  Benchmarking the (1+1) evolution strategy with one-fifth success rule on the BBOB-2009 function testbed , 2009, GECCO '09.

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

[44]  Mahmoud Fouz,et al.  BBOB: Nelder-Mead with resize and halfruns , 2009, GECCO '09.

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

[46]  Mohammed El-Abd,et al.  Black-box optimization benchmarking for noiseless function testbed using artificial bee colony algorithm , 2010, GECCO '10.

[47]  Anne Auger,et al.  Mirrored variants of the (1,4)-CMA-ES compared on the noiseless BBOB-2010 testbed , 2010, GECCO '10.

[48]  Hans-Georg Beyer,et al.  Benchmarking SPSA on BBOB-2010 noiseless function testbed , 2010, GECCO '10.

[49]  Raymond Ros,et al.  Black-box optimization benchmarking the IPOP-CMA-ES on the noiseless testbed: comparison to the BIPOP-CMA-ES , 2010, GECCO '10.

[50]  Miguel Nicolau,et al.  Application of a simple binary genetic algorithm to a noiseless testbed benchmark , 2009, GECCO '09.

[51]  Hans-Georg Beyer,et al.  Benchmarking CMA-EGS on the BBOB 2010 noiseless function testbed , 2010, GECCO '10.

[52]  Michèle Sebag,et al.  Fitness-AUC bandit adaptive strategy selection vs. the probability matching one within differential evolution: an empirical comparison on the bbob-2010 noiseless testbed , 2010, GECCO '10.