84 search results - page 6 / 17 » An Individually Variable Mutation-Rate Strategy for Genetic ... |
FUZZIEEE
2007
IEEE
14 years 2 months ago
2007
IEEE
— Incremental rule base learning techniques can be used to learn models and classifiers from interval or fuzzyvalued data. These algorithms are efficient when the observation e...
ASC
2008
13 years 7 months ago
2008
This paper presents a methodology for automatically generating online scheduling strategies for a complex objective defined by a machine provider. To this end, we assume independe...
AIIA
2007
Springer
14 years 1 months ago
2007
Springer
In this paper we compare four selection strategies in evolutionary optimization of information retrieval (IR) in a question answering setting. The IR index has been augmented by li...
GECCO
2006
Springer
13 years 11 months ago
2006
Springer
The importance of mutation varies across evolutionary computation domains including: genetic programming, evolution strategies, and genetic algorithms. In the genetic programming ...
GECCO
2009
Springer
14 years 2 months ago
2009
Springer
We propose a variation of the standard genetic algorithm that incorporates social interaction between the individuals in the population. Our goal is to understand the evolutionary...