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GECCO
2009
Springer
114views Optimization» more  GECCO 2009»
15 years 2 months ago
Noiseless functions black-box optimization: evaluation of a hybrid particle swarm with differential operators
In this work we evaluate a Particle Swarm Optimizer hybridized with Differential Evolution and apply it to the BlackBox Optimization Benchmarking for noiseless functions (BBOB 20...
José García-Nieto, Enrique Alba, Jav...
GECCO
2009
Springer
131views Optimization» more  GECCO 2009»
15 years 2 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
2009
Springer
134views Optimization» more  GECCO 2009»
15 years 2 months ago
BBOB-benchmarking two variants of the line-search algorithm
The restarted line search, or coordinate-wise search, algorithm is tested on the BBOB 2009 testbed. Two different univariate search algorithms (fminbnd from MATLAB and STEP) were...
Petr Posik
GECCO
2010
Springer
173views Optimization» more  GECCO 2010»
15 years 4 days ago
Comparison of cauchy EDA and rosenbrock's algorithms on the BBOB noiseless testbed
Estimation-of-distribution algorithm equipped with Cauchy distribution (Cauchy EDA) is compared with Rosenbrock’s local search algorithm. Both algorithms were already presented ...
Petr Posík
GECCO
2010
Springer
253views Optimization» more  GECCO 2010»
15 years 4 days ago
Comparison of G3PCX and Rosenbrock's algorithms on the BBOB noiseless testbed
Generalized generation gap algorithm with parent centric crossover is compared with Rosenbrock’s optimization algorithm. Both algorithms were already presented at the BBOB 2009 ...
Petr Posík