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» Hybrid Optimizations: Which Optimization Algorithm to Use
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FSTTCS
2006
Springer
15 years 8 months ago
Approximation Algorithms for 2-Stage Stochastic Optimization Problems
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...
Chaitanya Swamy, David B. Shmoys
ECCC
2006
97views more  ECCC 2006»
15 years 4 months ago
Runtime Analysis of a Simple Ant Colony Optimization Algorithm
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...
Frank Neumann, Carsten Witt
PPSN
1998
Springer
15 years 8 months ago
Comparison of Evolutionary Algorithms for Design Optimization
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...
ICPR
2000
IEEE
16 years 5 months ago
Optimal Range Segmentation Parameters through Genetic Algorithms
A wide number of algorithmsfor surjtiacesegmentationin range images have been recentlyproposed characterizedby different approaches (edgefilling, regiongrowing, ...), different su...
Luigi Cinque, Stefano Levialdi, Gianluca Pignalber...
CEC
2009
IEEE
15 years 11 months ago
A micro-bacterial foraging algorithm for high-dimensional optimization
- 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...
Sambarta Dasgupta, Arijit Biswas, Swagatam Das, Bi...