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In this paper, we benchmark the (1+1) Evolution Strategy (ES) with one-fifth success rule which is one of the first and simplest adaptive search algorithms proposed for optimization. The benchmarking is conducted on the noise-free BBOB-2009 testbed. We implement a restart version of the algorithm and conduct for each run 10 6 times the dimension of the search space function evaluations.doi:10.1145/1570256.1570342 dblp:conf/gecco/Auger09 fatcat:yfwopqq7hzc3fawoihz7tceqfy