submit
english version rss feed
HAL: inria-00397334, version 3

See detailed view  BibTeX,EndNote,...
8th International Symposium on Experimental Algorithms, Dortmund : Germany (2009)
Available versions
Experimental Comparisons of Derivative Free Optimization Algorithms
Anne Auger 1, 2, Nikolaus Hansen 2, Jorge M. Perez Zerpa 1, Raymond Ros 1, Marc Schoenauer 1, 2
(2009)

In this paper, the performances of the quasi-Newton BFGS algorithm, the NEWUOA derivative free optimizer, the Covariance Matrix Adaptation Evolution Strategy (CMA-ES), the Differential Evolution (DE) algorithm and Particle Swarm Optimizers (PSO) are compared experimentally on benchmark functions reflecting important challenges encountered in real-world optimization problems. Dependence of the performances in the conditioning of the problem and rotational invariance of the algorithms are in particular investigated.
1:  TAO (INRIA Saclay - Ile de France)
INRIA – CNRS : UMR8623 – Université Paris XI - Paris Sud
2:  Microsoft Research - Inria Joint Centre (MSR - INRIA)
INRIA – Microsoft – Microsoft Research Laboratory Cambridge
Computer Science/Artificial Intelligence
Attached file list to this document: 
PDF
sea.pdf(329.8 KB)
PS
sea.ps(683.9 KB)

all articles on CCSd database...
all articles on CCSd database...
all articles on CCSd database...
all articles on CCSd database...
all articles on CCSd database...
all articles on CCSd database...
all articles on CCSd database...
all articles on CCSd database...
all articles on CCSd database...
all articles on CCSd database...
all articles on CCSd database...
all articles on CCSd database...
all articles on CCSd database...
all articles on CCSd database...
all articles on CCSd database...
all articles on CCSd database...
all articles on CCSd database...
all articles on CCSd database...
all articles on CCSd database...
all articles on CCSd database...