5372 search results - page 812 / 1075 » complexity 2007 |
168
click to vote
GECCO
2007
Springer
16 years 24 days ago
2007
Springer
One of the most controversial yet enduring hypotheses about what genetic algorithms (GAs) are good for concerns the idea that GAs process building-blocks. More specifically, it ha...
214
click to vote
GECCO
2007
Springer
16 years 24 days ago
2007
Springer
One of the most critical issues that remains to be fully addressed in existing multimodal evolutionary algorithms is the difficulty in pre-specifying parameters used for estimatin...
169
click to vote
GECCO
2007
Springer
16 years 24 days ago
2007
Springer
Evolutionary structural testing is an approach to automatically generating test cases that achieve high structural code coverage. It typically uses genetic algorithms (GAs) to sea...
275
click to vote
GECCO
2007
Springer
16 years 24 days ago
2007
Springer
Bayesian Networks are today used in various fields and domains due to their inherent ability to deal with uncertainty. Learning Bayesian Networks, however is an NP-Hard task [7]....
169
click to vote
GECCO
2007
Springer
16 years 24 days ago
2007
Springer
In this paper, we examine how adding objectives to a given optimization problem affects the computation effort required to generate the set of Pareto-optimal solutions. Experime...