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GECCO
2004
Springer
103views Optimization» more  GECCO 2004»
14 years 1 months ago
Training Neural Networks with GA Hybrid Algorithms
Abstract. Training neural networks is a complex task of great importance in the supervised learning field of research. In this work we tackle this problem with five algorithms, a...
Enrique Alba, J. Francisco Chicano
NETCOOP
2007
Springer
14 years 1 months ago
The Practical Performance of Subgradient Computational Techniques for Mesh Network Utility Optimization
In the networking research literature, the problem of network utility optimization is often converted to the dual problem which, due to nondifferentiability, is solved with a part...
Peng Wang, Stephan Bohacek
TON
1998
68views more  TON 1998»
13 years 7 months ago
Optimal capacity placement for path restoration in STM or ATM mesh-survivable networks
Abstract—The total transmission capacity required by a transport network to satisfy demand and protect it from failures contributes significantly to its cost, especially in long...
Rainer R. Iraschko, Mike H. MacGregor, Wayne D. Gr...
CDC
2009
IEEE
126views Control Systems» more  CDC 2009»
13 years 5 months ago
Stochastic optimization for Markov modulated networks with application to delay constrained wireless scheduling
Abstract-- We consider a wireless system with a small number of delay constrained users and a larger number of users without delay constraints. We develop a scheduling algorithm th...
Michael J. Neely
ICC
2007
IEEE
14 years 2 months ago
Optimizing Zero-Forcing Based Gain Allocation for Wireless Multiuser Networks
— We consider a wireless multiuser network where a number of source/destination pairs communicate concurrently over the same physical channel. A set of amplify-and-forward relay ...
Celal Esli, Stefan Berger, Armin Wittneben