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GECCO
2009
Springer
148views Optimization» more  GECCO 2009»
15 years 10 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»
15 years 10 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»
15 years 10 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»
15 years 10 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»
15 years 10 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