Benchmarking the pure random search on the BBOB-2009 noisy testbed
Proceedings of the 11th Annual Conference Companion on Genetic and Evolutionary Computation Conference: Late Breaking Papers
AOAB: automated optimization algorithm benchmarking
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
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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 dimension. The maximum number of function evaluations chosen is 106 times the search space dimension. With this budget the algorithm is not able to solve any single function of the testbed.