76 search results - page 8 / 16 » Optimal Interaction of Mutation and Crossover in the Breeder... |
GECCO
2006
Springer
14 years 6 days ago
2006
Springer
We show that there are unimodal fitness functions and genetic algorithm (GA) parameter settings where the GA, when initialized with a random population, will not move close to the...
GECCO
2011
Springer
13 years 1 days ago
2011
Springer
In genetic programming, the reproductive operators of crossover and mutation both require the selection of nodes from the reproducing individuals. Both unbiased random selection a...
AUSAI
2007
Springer
14 years 2 months ago
2007
Springer
The traditional concept of a genetic algorithm (GA) is that of selection, crossover and mutation. However, a limited amount of data from the literature has suggested that the nich...
GECCO
2005
Springer
14 years 2 months ago
2005
Springer
Genetic Algorithms (GAs) are a search and optimization technique based on the mechanism of evolution. Recently, another sort of population-based optimization method called Estimat...
ENGL
2007
13 years 8 months ago
2007
—Instantaneous detection and diagnosis of various faults and break-downs in industrial processes is required to reduce production losses and damage to equipments. A solved knowle...