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» Benchmarking SPSA on BBOB-2010 noiseless function testbed
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GECCO
2010
Springer
190views Optimization» more  GECCO 2010»
13 years 10 months ago
Comparing the (1+1)-CMA-ES with a mirrored (1+2)-CMA-ES with sequential selection on the noiseless BBOB-2010 testbed
In this paper, we compare the (1+1)-CMA-ES to the (1+2s m)CMA-ES, a recently introduced quasi-random (1+2)-CMAES that uses mirroring as derandomization technique as well as a sequ...
Anne Auger, Dimo Brockhoff, Nikolaus Hansen
GECCO
2010
Springer
140views Optimization» more  GECCO 2010»
13 years 7 months ago
Investigating the impact of sequential selection in the (1, 4)-CMA-ES on the noiseless BBOB-2010 testbed
This paper investigates the impact of sequential selection, a concept recently introduced for Evolution Strategies (ESs). Sequential selection performs the evaluations of the diļ¬...
Anne Auger, Dimo Brockhoff, Nikolaus Hansen
GECCO
2010
Springer
173views Optimization» more  GECCO 2010»
13 years 7 months ago
Black-box optimization benchmarking for noiseless function testbed using artificial bee colony algorithm
This paper benchmarks the Artificial Bee Colony (ABC) algorithm using the noise-free BBOB 2010 testbed. The results show how this algorithm is highly successful in the separable a...
Mohammed El-Abd
GECCO
2010
Springer
183views Optimization» more  GECCO 2010»
13 years 8 months ago
Benchmarking a MOS-based algorithm on the BBOB-2010 noisy function testbed
In this paper, a hybrid algorithm based on the Multiple Oļ¬€spring Sampling framework is presented and benchmarked on the BBOB-2010 noisy testbed. MOS allows the seamless combinat...
Antonio LaTorre, Santiago Muelas, José Mar&...
GECCO
2010
Springer
182views Optimization» more  GECCO 2010»
13 years 8 months ago
Benchmarking CMA-EGS on the BBOB 2010 noisy function testbed
This paper describes the implementation and the results for CMA-EGS on the BBOB 2010 noisy testbed. The CMAEGS is a hybrid strategy which combines elements from gradient search an...
Steffen Finck, Hans-Georg Beyer