Sciweavers

3052 search results - page 509 / 611
» Engineers Don't Search
Sort
View
GECCO
2007
Springer
187views Optimization» more  GECCO 2007»
14 years 3 months ago
Defining implicit objective functions for design problems
In many design tasks it is difficult to explicitly define an objective function. This paper uses machine learning to derive an objective in a feature space based on selected examp...
Sean Hanna
GECCO
2007
Springer
276views Optimization» more  GECCO 2007»
14 years 3 months ago
Automatic mutation test input data generation via ant colony
Fault-based testing is often advocated to overcome limitations of other testing approaches; however it is also recognized as being expensive. On the other hand, evolutionary algor...
Kamel Ayari, Salah Bouktif, Giuliano Antoniol
GECCO
2007
Springer
154views Optimization» more  GECCO 2007»
14 years 3 months ago
A multi-objective approach to search-based test data generation
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...
Kiran Lakhotia, Mark Harman, Phil McMinn
GECCO
2007
Springer
190views Optimization» more  GECCO 2007»
14 years 3 months ago
Interactive evolutionary multi-objective optimization and decision-making using reference direction method
In this paper, we borrow the concept of reference direction approach from the multi-criterion decision-making literature and combine it with an EMO procedure to develop an algorit...
Kalyanmoy Deb, Abhishek Kumar
GECCO
2007
Springer
186views Optimization» more  GECCO 2007»
14 years 3 months ago
ICSPEA: evolutionary five-axis milling path optimisation
ICSPEA is a novel multi-objective evolutionary algorithm which integrates aspects from the powerful variation operators of the Covariance Matrix Adaptation Evolution Strategy (CMA...
Jörn Mehnen, Rajkumar Roy, Petra Kersting, To...