Comparing results of 31 algorithms from the black-box optimization benchmarking BBOB-2009
Proceedings of the 12th annual conference companion on Genetic and evolutionary computation
A comparison of global search algorithms for continuous black box optimization
Evolutionary Computation
Restarted local search algorithms for continuous black box optimization
Evolutionary Computation
Benchmarking the local metamodel CMA-ES on the noiseless BBOB'2013 test bed
Proceedings of the 15th annual conference companion on Genetic and evolutionary computation
The continuous differential ant-stigmergy algorithm for numerical optimization
Computational Optimization and Applications
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The 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 105 times the search space dimension, resulting in the algorithm solving six functions.