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...
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...
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...
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...
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...
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 ...
Evo Indent http://www.dcs.kcl.ac.uk/staff/W.Langdon/ evo_indent/ is a PHP web server based user driven genetic algorithm which finds good C code layouts generated by GNU indent. ...
A partly time and space linear CMA-ES is benchmarked on the BBOB-2009 noisy function testbed. This algorithm with a multistart strategy with increasing population size solves 10 f...
In this paper we describe a multi-objective problem solving approach, simultaneously minimizing average surface roughness Ra and build Time T, for object manufacturing by Rapid Pr...