547 search results - page 43 / 110 » A hybrid approach to parameter tuning in genetic algorithms |
EUSFLAT
2003
13 years 9 months ago
2003
This paper suggests an evolutionary approach to design coordination strategies, a key issue in distributed intelligent systems. We focus on competitive strategies in the form of f...
ICMLA
2007
13 years 9 months ago
2007
Gene Expression Programming (GEP) is an evolutionary algorithm that incorporates both the idea of a simple, linear chromosome of fixed length used in Genetic Algorithms (GAs) and...
MASCOTS
2008
13 years 9 months ago
2008
Manually tuning tens to hundreds of configuration parameters in a complex software system like a database or an application server is an arduous task. Recent work has looked into ...
GECCO
2004
Springer
14 years 1 months ago
2004
Springer
In this study, a new mechanism that adapts the mutation rate for each locus on the chromosomes, based on feedback obtained from the current population is proposed. Through tests us...
ICANN
2005
Springer
14 years 1 months ago
2005
Springer
Abstract. Tuning hyper-parameters is a necessary step to improve learning algorithm performances. For Support Vector Machine classifiers, adjusting kernel parameters increases dra...