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» A Genetic Algorithm Applied to the Maximum Flow Problem
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ICPR
2008
IEEE
14 years 8 months ago
Learning motion patterns in crowded scenes using motion flow field
Learning typical motion patterns or activities from videos of crowded scenes is an important visual surveillance problem. To detect typical motion patterns in crowded scenarios, w...
Min Hu, Mubarak Shah, Saad Ali
CEC
2005
IEEE
14 years 1 months ago
An empirical analysis of the grouping genetic algorithm: the timetabling case
A grouping genetic algorithm (GGA) for the university course timetabling problem is outlined. We propose six different fitness functions, all sharing the same common goal, and look...
Rhydian Lewis, Ben Paechter
ASC
2004
13 years 7 months ago
Adaptive reconfiguration of data networks using genetic algorithms
Genetic algorithms are applied to an important, but little-investigated, network design problem, that of reconfiguring the topology and link capacities of an operational network t...
David J. Montana, Talib S. Hussain
TSP
2010
13 years 2 months ago
Efficient Maximum Entropy Reconstruction of Nuclear Magnetic Resonance T1-T2 Spectra
Abstract--This paper deals with the reconstruction of T1-T2 correlation spectra in nuclear magnetic resonance relaxometry. The ill-posed character and the large size of this invers...
Emilie Chouzenoux, Saïd Moussaoui, Jér...
GECCO
2003
Springer
415views Optimization» more  GECCO 2003»
14 years 25 days ago
Evolutionary Algorithms for Two Problems from the Calculus of Variations
Abstract. A brachistochrone is the path along which a weighted particle falls most quickly from one point to another, and a catenary is the smooth curve connecting two points whose...
Bryant A. Julstrom