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GECCO
2009
Springer

Benchmarking the (1+1) evolution strategy with one-fifth success rule on the BBOB-2009 function testbed

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Benchmarking the (1+1) evolution strategy with one-fifth success rule on the BBOB-2009 function testbed
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 106 times the dimension of the search space function evaluations. Categories and Subject Descriptors
Anne Auger
Added 24 Jul 2010
Updated 24 Jul 2010
Type Conference
Year 2009
Where GECCO
Authors Anne Auger
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