Abstract. Stochastic optimization is a leading approach to model optimization problems in which there is uncertainty in the input data, whether from measurement noise or an inabili...
Ant Colony Optimization (ACO) has become quite popular in recent years. In contrast to many successful applications, the theoretical foundation of this randomized search heuristic...
The production of specimen for microsystems or microcomponents is both, time and material-consuming. In a traditional design process the number of possible variations which can be ...
Wilfried Jakob, Martina Gorges-Schleuter, Ingo Sie...
A wide number of algorithmsfor surjtiacesegmentationin range images have been recentlyproposed characterizedby different approaches (edgefilling, regiongrowing, ...), different su...
Luigi Cinque, Stefano Levialdi, Gianluca Pignalber...
- Very recently bacterial foraging has emerged as a powerful technique for solving optimization problems. In this paper, we introduce a micro-bacterial foraging optimization algori...