928 search results - page 129 / 186 » Evolutionary algorithms and matroid optimization problems |
GECCO
2007
Springer
13 years 11 months ago
2007
Springer
The Negative Slope Coefficient (nsc) is an empirical measure of problem hardness based on the analysis of offspring-fitness vs. parent-fitness scatterplots. The nsc has been teste...
CEC
2010
IEEE
13 years 4 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 2 months ago
2009
IEEE
— Despite their success as optimization methods, evolutionary algorithms face many difficulties to design artifacts with complex structures. According to paleontologists, living...
JCM
2006
13 years 7 months ago
2006
Wireless sensor networks are widely adopted in many location-sensitive applications including disaster management, environmental monitoring, military applications where the precise...
SAC
1998
ACM
14 years 2 days ago
1998
ACM
The fast messy genetic algorithm (fmGA) belongs to a class of algorithms inspired by the principles of evolution, known appropriately as "evolutionary algorithms" (EAs)....