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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
GECCO
2009
Springer
118views Optimization» more  GECCO 2009»
13 years 9 months 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
2009
Springer
161views Optimization» more  GECCO 2009»
13 years 9 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
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
151views Optimization» more  GECCO 2009»
13 years 9 months ago
Black-box optimization benchmarking for noiseless function testbed using particle swarm optimization
This paper benchmarks the Particle Swarm Optimization (PSO) algorithm using the noise-free BBOB 2009 testbed. Categories and Subject Descriptors
Mohammed El-Abd, Mohamed S. Kamel