55 search results - page 1 / 11 » Examination of multi-objective optimization method for globa... |
CEC
2008
IEEE
13 years 11 months ago
2008
IEEE
— A number of multi-objective genetic algorithms (MOGAs) have been developed to obtain Pareto optimal solutions for multi-objective optimization problems. However, as these metho...
CEC
2007
IEEE
13 years 6 months ago
2007
IEEE
— As there are many good optimization algorithms each with its own characteristics, it is very difficult to choose the best method for optimization problems. Thus, it is importa...
AIR
2002
13 years 4 months ago
2002
The rapid advances of evolutionary methods for multi-objective (MO) optimization poses the difficulty of keeping track of the developments in this field as well as selecting an app...
GECCO
2005
Springer
13 years 10 months ago
2005
Springer
In Genetic algorithms it is not easy to evaluate the confidence level in whether a GA run may have missed a complete area of good points, and whether the global optimum was found....
IJON
2000
13 years 4 months ago
2000
A general problem in model selection is to obtain the right parameters that make a model "t observed data. For a multilayer perceptron (MLP) trained with back-propagation (BP...