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
2009
Springer
13 years 10 months ago
2009
Springer
We benchmark an independent-restart-(1+1)-CMA-ES on the BBOB-2009 noisy testbed. The (1+1)-CMA-ES is an adaptive stochastic algorithm for the optimization of objective functions d...
GECCO
2009
Springer
13 years 10 months ago
2009
Springer
Automatic design of software architecture by use of genetic algorithms has already been shown to be feasible. A natural problem is to augment – if not replace – genetic algori...
GECCO
2009
Springer
13 years 10 months ago
2009
Springer
The BFGS quasi-Newton method is benchmarked on the noisy BBOB-2009 testbed. A multistart strategy is applied with a maximum number of function evaluations of about 104 times the s...
GECCO
2009
Springer
13 years 10 months ago
2009
Springer
This paper describes the application of a Gaussian Estimation-of-Distribution (EDA) for real-valued optimization to the noisy part of a benchmark introduced in 2009 called BBOB (B...
GECCO
2009
Springer
13 years 10 months ago
2009
Springer
Evolution of neural networks, as implemented in NEAT, has proven itself successful on a variety of low-level control problems such as pole balancing and vehicle control. Nonethele...
GECCO
2009
Springer
13 years 10 months ago
2009
Springer
GECCO
2009
Springer
13 years 10 months ago
2009
Springer
We benchmark the BI-population CMA-ES on the BBOB2009 noisy functions testbed. BI-population refers to a multistart strategy with equal budgets for two interlaced restart strategi...
GECCO
2009
Springer
13 years 10 months ago
2009
Springer
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...
GECCO
2009
Springer
13 years 10 months ago
2009
Springer
In this paper we extend the work done in [5], where authors have proposed a evolutionary multi-objective approach to Rapid Prototyping (RP), to decipher optimal build orientation ...