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GECCO
2010
Springer

Benchmarking CMA-EGS on the BBOB 2010 noiseless function testbed

9 years 1 months ago
Benchmarking CMA-EGS on the BBOB 2010 noiseless function testbed
This paper describes the implementation and the results for CMA-EGS on the BBOB 2010 noiseless function testbed. The CMA-EGS is a hybrid strategy which combines elements from gradient search and evolutionary algorithms. The paper describes the algorithm used and the experimental setup. The strategy is able to solve 11 of 24 test functions for at least 5 of the 6 search space dimensionalities. For 4 test functions the target function value is not reached for at least one search space dimensionality. Categories and Subject Descriptors
Steffen Finck, Hans-Georg Beyer
Added 12 Oct 2010
Updated 12 Oct 2010
Type Conference
Year 2010
Where GECCO
Authors Steffen Finck, Hans-Georg Beyer
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