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Comparing natural evolution strategies to BIPOP-CMA-ES on noiseless and noisy black-box optimization testbeds
2012
Proceedings of the fourteenth international conference on Genetic and evolutionary computation conference companion - GECCO Companion '12
Natural Evolution Strategies (NES) are a recent member of the class of real-valued optimization algorithms that are based on adapting search distributions. Exponential NES (xNES) are the most common instantiation of NES, and particularly appropriate for the BBOB 2012 benchmarks, given that many are non-separable, and their relatively small problem dimensions. Here, we augment xNES with adaptation sampling, which adapts learning rates online, and compare the resulting performance directly to the
doi:10.1145/2330784.2330819
dblp:conf/gecco/Schaul12e
fatcat:3spg5gkiwjgdzjonzn6pzttvhq