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» Benchmarking SPSA on BBOB-2010 noiseless function testbed
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GECCO
2009
Springer
124views Optimization» more  GECCO 2009»
13 years 10 months ago
Black-box optimization benchmarking for noiseless function testbed using an EDA and PSO hybrid
This paper benchmarks an Estimation of Distribution Algorithm (EDA) and Particle Swarm Optimizer (PSO) on noisefree BBOB 2009 testbed. The algorithm is referred to as EDA-PSO and ...
Mohammed El-Abd, Mohamed S. Kamel
GECCO
2010
Springer
222views Optimization» more  GECCO 2010»
13 years 3 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
195views Optimization» more  GECCO 2010»
13 years 3 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
131views Optimization» more  GECCO 2009»
13 years 10 months ago
Application of a simple binary genetic algorithm to a noiseless testbed benchmark
One of the earliest evolutionary computation algorithms, the genetic algorithm, is applied to the noise-free BBOB 2009 testbed. It is adapted to the continuous domain by increasin...
Miguel Nicolau
GECCO
2010
Springer
174views Optimization» more  GECCO 2010»
13 years 8 months ago
Real-coded genetic algorithm benchmarked on noiseless black-box optimization testbed
Genetic algorithms—a class of stochastic population-based optimization techniques—have been widely realized as the effective tools to solve complicated optimization problems ...
Thanh-Do Tran, Gang-Gyoo Jin