928 search results - page 135 / 186 » Evolutionary algorithms and matroid optimization problems |
GECCO
2005
Springer
14 years 1 months ago
2005
Springer
Cooperative co-evolution is often used to solve difficult optimization problems by means of problem decomposition. Its performance for such tasks can vary widely from good to disa...
EMO
2006
Springer
13 years 11 months ago
2006
Springer
1 In most real world optimization problems several optimization goals have to be considered in parallel. For this reason, there has been a growing interest in Multi-Objective Optim...
GECCO
2008
Springer
13 years 9 months ago
2008
Springer
A well-designed fitness function is essential to the effectiveness and efficiency of evolutionary testing. Fitness function design has been researched extensively. For fitness ...
GECCO
2011
Springer
12 years 11 months ago
2011
Springer
We introduce the Spacing Memetic Algorithm (SMA), a formal evolutionary model devoted to a systematic control of spacing (distances) among individuals. SMA uses search space dista...
GECCO
2007
Springer
14 years 2 months ago
2007
Springer
There has been a considerable body of work on search–based test data generation for branch coverage. However, hitherto, there has been no work on multi–objective branch covera...