165 search results - page 9 / 33 » On Test Functions for Evolutionary Multi-objective Optimizat... |
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 ...
EOR
2007
13 years 8 months ago
2007
We introduce a master–worker framework for parallel global optimization of computationally expensive functions using response surface models. In particular, we parallelize two r...
GECCO
2004
Springer
14 years 1 months ago
2004
Springer
Fitness functions derived for certain white-box test goals can cause problems for Evolutionary Testing (ET), due to a lack of sufficient guidance to the required test data. Often t...
ENC
2003
IEEE
14 years 1 months ago
2003
IEEE
This paper presents the main multiobjective optimization concepts that have been used in evolutionary algorithms to handle constraints in global optimization problems. A review of...
HEURISTICS
2008
13 years 8 months ago
2008
A Local Linear Embedding (LLE) module enhances the performance of two Evolutionary Computation (EC) algorithms employed as search tools in global optimization problems. The LLE em...