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GECCO
2010
Springer
237views Optimization» more  GECCO 2010»
13 years 11 months ago
Benchmarking the (1, 4)-CMA-ES with mirrored sampling and sequential selection on the noiseless BBOB-2010 testbed
The well-known Covariance Matrix Adaptation Evolution Strategy (CMA-ES) is a robust stochastic search algorithm for optimizing functions defined on a continuous search space RD ....
Anne Auger, Dimo Brockhoff, Nikolaus Hansen
GECCO
2010
Springer
188views Optimization» more  GECCO 2010»
13 years 9 months ago
Benchmarking real-coded genetic algorithm on noisy black-box optimization testbed
Originally, genetic algorithms were developed based on the binary representation of candidate solutions in which each conjectured solution is a fixed-length string of binary numb...
Thanh-Do Tran, Gang-Gyoo Jin
GECCO
2010
Springer
173views Optimization» more  GECCO 2010»
13 years 8 months ago
Black-box optimization benchmarking for noiseless function testbed using artificial bee colony algorithm
This paper benchmarks the Artificial Bee Colony (ABC) algorithm using the noise-free BBOB 2010 testbed. The results show how this algorithm is highly successful in the separable a...
Mohammed El-Abd
GECCO
2009
Springer
161views Optimization» more  GECCO 2009»
13 years 11 months ago
Benchmarking the BFGS algorithm on the BBOB-2009 noisy testbed
The BFGS quasi-Newton method is benchmarked on the noisy BBOB-2009 testbed. A multistart strategy is applied with a maximum number of function evaluations of about 104 times the s...
Raymond Ros
GECCO
2009
Springer
142views Optimization» more  GECCO 2009»
13 years 11 months ago
Benchmarking the (1+1)-CMA-ES on the BBOB-2009 noisy testbed
We benchmark an independent-restart-(1+1)-CMA-ES on the BBOB-2009 noisy testbed. The (1+1)-CMA-ES is an adaptive stochastic algorithm for the optimization of objective functions d...
Anne Auger, Nikolaus Hansen