28 search results - page 3 / 6 » Constructing test problems for bilevel evolutionary multi-ob... |
GECCO
2008
Springer
13 years 8 months ago
2008
Springer
An open problem in multiobjective optimization using the Pareto optimality criteria, is how to evaluate the performance of different evolutionary algorithms that solve multi– o...
GECCO
2007
Springer
14 years 1 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...
GECCO
2005
Springer
14 years 19 days ago
2005
Springer
Various multi–objective evolutionary algorithms (MOEAs) have obtained promising results on various numerical multi– objective optimization problems. The combination with gradi...
GECCO
2008
Springer
13 years 8 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
2007
Springer
14 years 1 months ago
2007
Springer
The resolution of a Multi-Objective Optimization Problem (MOOP) does not end when the Pareto-optimal set is found. In real problems, a single solution must be selected. Ideally, t...