547 search results - page 27 / 110 » A hybrid approach to parameter tuning in genetic algorithms |
GECCO
2004
Springer
14 years 28 days ago
2004
Springer
Abstract. Training neural networks is a complex task of great importance in the supervised learning field of research. In this work we tackle this problem with five algorithms, a...
GECCO
2005
Springer
14 years 1 months ago
2005
Springer
Deciding the appropriate population size and number of islands for distributed island-model genetic algorithms is often critical to the algorithm’s success. This paper outlines ...
EC
2008
13 years 6 months ago
2008
A wide range of niching techniques have been investigated in evolutionary and genetic algorithms. In this article, we focus on niching using crowding techniques in the context of ...
EUROGP
2008
Springer
13 years 9 months ago
2008
Springer
Many automatically-synthesized programs have, like their hand-made counterparts, numerical parameters that need to be set properly before they can show an acceptable performance. H...
GECCO
2003
Springer
14 years 23 days ago
2003
Springer
Abstract. Spatially structured population models improve the performance of genetic algorithms by assisting the selection scheme in maintaining diversity. A significant concern wi...