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» Benchmarking CMA-EGS on the BBOB 2010 noisy function testbed
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GECCO
2010
Springer
172views Optimization» more  GECCO 2010»
13 years 9 months ago
Investigating the impact of sequential selection in the (1, 2)-CMA-ES on the noiseless BBOB-2010 testbed
This paper investigates the impact of sequential selection, a concept recently introduced for Evolution Strategies (ESs), that consists in performing the evaluations of the diffe...
Anne Auger, Dimo Brockhoff, Nikolaus Hansen
GECCO
2009
Springer
107views Optimization» more  GECCO 2009»
13 years 10 months ago
A stigmergy-based algorithm for black-box optimization: noisy function testbed
In this paper, we present a stigmergy-based algorithm for solving optimization problems with continuous variables, labeled Differential Ant-Stigmergy Algorithm (DASA). The perfor...
Peter Korosec, Jurij Silc
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
222views Optimization» more  GECCO 2010»
13 years 4 months ago
Black-box optimization benchmarking of NEWUOA compared to BIPOP-CMA-ES: on the BBOB noiseless testbed
In this paper, the performances of the NEW Unconstrained Optimization Algorithm (NEWUOA) on some noiseless functions are compared to those of the BI-POPulation Covariance Matrix A...
Nikolaus Hansen, Raymond Ros
GECCO
2010
Springer
180views Optimization» more  GECCO 2010»
13 years 9 months ago
Comparison of NEWUOA with different numbers of interpolation points on the BBOB noisy testbed
In this paper, we study the performances of the NEW Unconstrained Optimization Algorithm (NEWUOA) with different numbers of interpolation points. NEWUOA is a trust region method, ...
Raymond Ros