38 search results - page 3 / 8 » Benchmarking CMA-EGS on the BBOB 2010 noiseless function tes... |
GECCO
2009
Springer
2009
Springer
Black-box optimization benchmarking for noiseless function testbed using particle swarm optimization
13 years 10 months ago
This paper benchmarks the Particle Swarm Optimization (PSO) algorithm using the noise-free BBOB 2009 testbed. Categories and Subject Descriptors
GECCO
2010
Springer
13 years 3 months ago
2010
Springer
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...
GECCO
2009
Springer
13 years 10 months ago
2009
Springer
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...
GECCO
2009
Springer
13 years 10 months ago
2009
Springer
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 ...
GECCO
2010
Springer
13 years 10 months ago
2010
Springer
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...