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» A Genetic Algorithm Applied to the Maximum Flow Problem
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IEEECIT
2009
IEEE
14 years 2 months ago
Clustering of Software Systems Using New Hybrid Algorithms
—Software clustering is a method for increasing software system understanding and maintenance. Software designers, first use MDG graph to model the structure of software system. ...
Ali Safari Mamaghani, Mohammad Reza Meybodi
FOCS
2007
IEEE
13 years 11 months ago
Minimizing Average Flow-time : Upper and Lower Bounds
We consider the problem of minimizing average flow time on multiple machines when each job can be assigned only to a specified subset of the machines. This is a special case of sc...
Naveen Garg, Amit Kumar
HICSS
2006
IEEE
97views Biometrics» more  HICSS 2006»
14 years 1 months ago
Dynamically Optimizing Parameters in Support Vector Regression: An Application of Electricity Load Forecasting
This study develops a novel model, GA-SVR, for parameters optimization in support vector regression and implements this new model in a problem forecasting maximum electrical daily...
Chin-Chia Hsu, Chih-Hung Wu, Shih-Chien Chen, Kang...
ISCIS
2009
Springer
14 years 2 months ago
Channel assignment problem in cellular networks: A reactive tabu search approach
—The channel assignment problem (CAP) in cellular networks is concerned with the allocation and reuse of the frequency spectrum to the base stations in such a way that both the i...
Didem Gözüpek, Gaye Genç, Cem Ers...
ICCAD
2000
IEEE
188views Hardware» more  ICCAD 2000»
14 years 2 days ago
Bus Optimization for Low-Power Data Path Synthesis Based on Network Flow Method
— Sub-micron feature sizes have resulted in a considerable portion of power to be dissipated on the buses, causing an increased attention on savings for power at the behavioral l...
Sungpack Hong, Taewhan Kim