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GECCO
2009
Springer
115views Optimization» more  GECCO 2009»
15 years 2 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
147views Optimization» more  GECCO 2009»
15 years 2 months ago
Benchmarking the (1+1)-CMA-ES on the BBOB-2009 function testbed
The (1+1)-CMA-ES is an adaptive stochastic algorithm for the optimization of objective functions defined on a continuous search space in a black-box scenario. In this paper, an i...
Anne Auger, Nikolaus Hansen
GECCO
2009
Springer
118views Optimization» more  GECCO 2009»
15 years 2 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
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GECCO
2009
Springer
142views Optimization» more  GECCO 2009»
15 years 2 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
GECCO
2009
Springer
150views Optimization» more  GECCO 2009»
15 years 2 months ago
Benchmarking a BI-population CMA-ES on the BBOB-2009 function testbed
We propose a multistart CMA-ES with equal budgets for two interlaced restart strategies, one with an increasing population size and one with varying small population sizes. This B...
Nikolaus Hansen