25 search results - page 3 / 5 » Global and local real-coded genetic algorithms based on pare... |
TSMC
2002
13 years 5 months ago
2002
Abstract--Most genetic algorithm (GA) users adjust the main parameters of the design of a GA (crossover and mutation probability, population size, number of generations, crossover,...
EC
2006
13 years 5 months ago
2006
This paper presents GASAT, a hybrid algorithm for the satisfiability problem (SAT). The main feature of GASAT is that it includes a recombination stage based on a specific crossov...
CEC
2010
IEEE
13 years 3 months ago
2010
IEEE
In this work we examined the performance of two evolutionary algorithms, a genetic algorithm (GA) and particle swarm optimization (PSO), in the estimation of the parameters of a mo...
CEC
2008
IEEE
14 years 3 days ago
2008
IEEE
—The conventional K-Means clustering algorithm must know the number of clusters in advance and the clustering result is sensitive to the selection of the initial cluster centroid...
GECCO
2003
Springer
13 years 11 months ago
2003
Springer
The performance of genetic programming relies mostly on population-contained variation. If the population diversity is low then there will be a greater chance of the algorithm bein...