Comparison of NEWUOA with different numbers of interpolation points on the BBOB noiseless testbed
Proceedings of the 12th annual conference companion on Genetic and evolutionary computation
Proceedings of the 12th annual conference companion on Genetic and evolutionary computation
Proceedings of the 12th annual conference companion on Genetic and evolutionary computation
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
Experimental comparison of six population-based algorithms for continuous black box optimization
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
Bi-population CMA-ES agorithms with surrogate models and line searches
Proceedings of the 15th annual conference companion on Genetic and 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
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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 number of function evaluations of up to 10^5 times the search space dimension resulting in the algorithm solving 11 functions in 20-D. The results of the algorithm using the recommended number of interpolation points for the underlying model and the full model are shown and discussed.