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GECCO
2009
Springer
135views Optimization» more  GECCO 2009»
14 years 7 days ago
Benchmarking the (1+1)-ES with one-fifth success rule on the BBOB-2009 noisy testbed
The (1+1)-ES with one-fifth success rule is one of the first and simplest stochastic algorithm proposed for optimization on a continuous search space in a black-box scenario. In...
Anne Auger
GECCO
2009
Springer
148views Optimization» more  GECCO 2009»
14 years 7 days ago
Benchmarking the NEWUOA on the BBOB-2009 noisy testbed
The NEWUOA which belongs to the class of DerivativeFree optimization algorithms is benchmarked on the BBOB2009 noisy testbed. A multistart strategy is applied with a maximum numbe...
Raymond Ros
GECCO
2009
Springer
193views Optimization» more  GECCO 2009»
14 years 7 days ago
Benchmarking sep-CMA-ES on the BBOB-2009 noisy testbed
A partly time and space linear CMA-ES is benchmarked on the BBOB-2009 noisy function testbed. This algorithm with a multistart strategy with increasing population size solves 10 f...
Raymond Ros
GECCO
2009
Springer
118views Optimization» more  GECCO 2009»
14 years 7 days ago
Benchmarking the pure random search on the BBOB-2009 noisy testbed
We benchmark the Pure-Random-Search algorithm on the BBOB 2009 noisy testbed. Each candidate solution is sampled uniformly in [−5, 5]D , where D denotes the search space dimensi...
Anne Auger, Raymond Ros
GECCO
2010
Springer
183views Optimization» more  GECCO 2010»
13 years 11 months ago
Benchmarking a MOS-based algorithm on the BBOB-2010 noisy function testbed
In this paper, a hybrid algorithm based on the Multiple Offspring Sampling framework is presented and benchmarked on the BBOB-2010 noisy testbed. MOS allows the seamless combinat...
Antonio LaTorre, Santiago Muelas, José Mar&...