International audienceThe BFGS quasi-Newton method is benchmarked on the noiseless BBOB-2009 testbed. A multistart strategy is applied with a maximum number of function evaluations of 10^5 times the search space dimension, resulting in the algorithm solving six functions
HAL is a multi-disciplinary open access archive for the deposit and dissemination of sci-entific res...
Some claim that updating approximate Hessian information via the BFGS formula with a Cholesky factor...
The BFGS formula is arguably the most well known and widely used update method for quasi-Newton algo...
International audienceThe BFGS quasi-Newton method is benchmarked on the noiseless BBOB-2009 testbed...
International audienceThe BFGS quasi-Newton method is benchmarked on the noisy BBOB-2009 testbed. A ...
International audienceThe NEWUOA which belongs to the class of Derivative-Free optimization algorith...
International audienceThe NEWUOA which belongs to the class of Derivative-Free optimization algorith...
International audienceA partly time and space linear CMA-ES is benchmarked on the BBOB-2009 noiseles...
International audienceBenchmarking algorithms is a crucial task to understand them and to make recom...
pp. 1689-1696This paper presents results of the BBOB-2009 benchmark- ing of 31 search algorithms on ...
International audienceA partly time and space linear CMA-ES is benchmarked on the BBOB-2009 noisy fu...
HAL is a multi-disciplinary open access archive for the deposit and dissemination of sci-entific res...
Some claim that updating approximate Hessian information via the BFGS formula with a Cholesky factor...
The BFGS formula is arguably the most well known and widely used update method for quasi-Newton algo...
International audienceThe BFGS quasi-Newton method is benchmarked on the noiseless BBOB-2009 testbed...
International audienceThe BFGS quasi-Newton method is benchmarked on the noisy BBOB-2009 testbed. A ...
International audienceThe NEWUOA which belongs to the class of Derivative-Free optimization algorith...
International audienceThe NEWUOA which belongs to the class of Derivative-Free optimization algorith...
International audienceA partly time and space linear CMA-ES is benchmarked on the BBOB-2009 noiseles...
International audienceBenchmarking algorithms is a crucial task to understand them and to make recom...
pp. 1689-1696This paper presents results of the BBOB-2009 benchmark- ing of 31 search algorithms on ...
International audienceA partly time and space linear CMA-ES is benchmarked on the BBOB-2009 noisy fu...
HAL is a multi-disciplinary open access archive for the deposit and dissemination of sci-entific res...
Some claim that updating approximate Hessian information via the BFGS formula with a Cholesky factor...
The BFGS formula is arguably the most well known and widely used update method for quasi-Newton algo...