45 search results - page 2 / 9 » Evaluating Evolutionary Algorithms and Differential Evolutio... |
GECCO
2000
Springer
13 years 9 months ago
2000
Springer
A hybrid method of evolutionary algorithms is introduced in this study. The hybrid method includes two additional operations, acceleration and migrating operations. These two oper...
TEC
2008
13 years 5 months ago
2008
Evolutionary Algorithms (EAs) are well-known optimization approaches to cope with non-linear, complex problems. These population-based algorithms, however, suffer from a general we...
ENC
2005
IEEE
13 years 11 months ago
2005
IEEE
Generally, evolutionary algorithms require a large number of evaluations of the objective function in order to obtain a good solution. This paper presents a simple approach to sav...
CEC
2010
IEEE
13 years 2 months ago
2010
IEEE
Several constraint handling techniques have been proposed to be used with the evolutionary algorithms (EAs). According to the no free lunch theorem, it is impossible for a single c...
CEC
2009
IEEE
14 years 4 days ago
2009
IEEE
Abstract— In this paper we investigate a Self-Adaptive Differential Evolution algorithm (jDE) where F and CR control parameters are self-adapted and a multi-population method wit...