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216
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BMCBI
2006
146views more  BMCBI 2006»
15 years 7 months ago
Optimized Particle Swarm Optimization (OPSO) and its application to artificial neural network training
Background: Particle Swarm Optimization (PSO) is an established method for parameter optimization. It represents a population-based adaptive optimization technique that is influen...
Michael Meissner, Michael Schmuker, Gisbert Schnei...
IOR
2010
114views more  IOR 2010»
15 years 5 months ago
Inventory Management of a Fast-Fashion Retail Network
Working in collaboration with Spain-based retailer Zara, we address the problem of distributing over time a limited amount of inventory across all the stores in a fast-fashion ret...
Felipe Caro, Jérémie Gallien
MASS
2010
173views Communications» more  MASS 2010»
15 years 5 months ago
Efficient routing in delay tolerant networks with correlated node mobility
Abstract--In a delay tolerant network (DTN), nodes are connected intermittently and the future node connections are mostly unknown. Since in these networks, a fully connected path ...
Eyuphan Bulut, Sahin Cem Geyik, Boleslaw K. Szyman...
233
Voted
CCGRID
2001
IEEE
15 years 11 months ago
Cluster Computing in the Classroom: Topics, Guidelines, and Experiences
- With the progress of research on cluster computing, more and more universities have begun to offer various courses covering cluster computing. A wide variety of content can be ta...
Amy W. Apon, Rajkumar Buyya, Hai Jin, Jens Mache
204
Voted
KER
2008
193views more  KER 2008»
15 years 7 months ago
The 1st international workshop on computational social choice
Computational social choice is a new discipline currently emerging at the interface of social choice theory and computer science. It is concerned with the application of computati...
Ulle Endriss