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GECCO
2009
Springer
148views Optimization» more  GECCO 2009»
13 years 9 months 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»
13 years 9 months 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
170views Optimization» more  GECCO 2009»
13 years 9 months ago
Benchmarking a BI-population CMA-ES on the BBOB-2009 noisy testbed
We benchmark the BI-population CMA-ES on the BBOB2009 noisy functions testbed. BI-population refers to a multistart strategy with equal budgets for two interlaced restart strategi...
Nikolaus Hansen
GECCO
2009
Springer
141views Optimization» more  GECCO 2009»
13 years 9 months ago
Benchmarking the NEWUOA on the BBOB-2009 function testbed
The NEWUOA which belongs to the class of Derivative-Free optimization algorithms is benchmarked on the BBOB-2009 noisefree testbed. A multistart strategy is applied with a maximum...
Raymond Ros
GECCO
2009
Springer
115views Optimization» more  GECCO 2009»
13 years 9 months ago
Benchmarking the pure random search on the BBOB-2009 testbed
We benchmark the pure random search algorithm on the BBOB 2009 noise-free testbed. Each candidate solution is sampled uniformly in [−5, 5]D , where D denotes the search space di...
Anne Auger, Raymond Ros