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GECCO
2009
Springer
151views Optimization» more  GECCO 2009»
14 years 2 days ago
Black-box optimization benchmarking for noiseless function testbed using particle swarm optimization
This paper benchmarks the Particle Swarm Optimization (PSO) algorithm using the noise-free BBOB 2009 testbed. Categories and Subject Descriptors
Mohammed El-Abd, Mohamed S. Kamel
GECCO
2010
Springer
195views Optimization» more  GECCO 2010»
13 years 5 months ago
Black-box optimization benchmarking the IPOP-CMA-ES on the noiseless testbed: comparison to the BIPOP-CMA-ES
We benchmark the Covariance Matrix Adaptation-Evolution Strategy (CMA-ES) algorithm with an Increasing POPulation size (IPOP) restart policy on the BBOB noiseless testbed. The IPO...
Raymond Ros
GECCO
2009
Springer
134views Optimization» more  GECCO 2009»
14 years 2 days ago
Benchmarking the BFGS algorithm on the BBOB-2009 function testbed
The BFGS quasi-Newton method is benchmarked on the noiseless BBOB-2009 testbed. A multistart strategy is applied with a maximum number of function evaluations of 105 times the sea...
Raymond Ros
GECCO
2009
Springer
141views Optimization» more  GECCO 2009»
14 years 2 days ago
Benchmarking sep-CMA-ES on the BBOB-2009 function testbed
A partly time and space linear CMA-ES is benchmarked on the BBOB-2009 noiseless function testbed. This algorithm with a multistart strategy with increasing population size solves ...
Raymond Ros
GECCO
2010
Springer
193views Optimization» more  GECCO 2010»
14 years 7 days ago
Fitness-AUC bandit adaptive strategy selection vs. the probability matching one within differential evolution: an empirical comp
The choice of which of the available strategies should be used within the Differential Evolution algorithm for a given problem is not trivial, besides being problem-dependent and...
Álvaro Fialho, Marc Schoenauer, Michè...