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CEC
2005
IEEE
15 years 7 months ago
Co-evolutionary modular neural networks for automatic problem decomposition
Abstract- Decomposing a complex computational problem into sub-problems, which are computationally simpler to solve individually and which can be combined to produce a solution to ...
Vineet R. Khare, Xin Yao, Bernhard Sendhoff, Yaoch...
IPCO
1993
138views Optimization» more  IPCO 1993»
15 years 7 months ago
An efficient approximation algorithm for the survivable network design problem
The survivable network design problem (SNDP) is to construct a minimum-cost subgraph satisfying certain given edge-connectivity requirements. The first polynomial-time approximati...
Harold N. Gabow, Michel X. Goemans, David P. Willi...
EOR
2006
78views more  EOR 2006»
15 years 5 months ago
A multi-objective resource allocation problem in PERT networks
We develop a multi-objective model for resource allocation problem in PERT networks with exponentially or Erlang distributed activity durations, where the mean duration of each ac...
Amir Azaron, Hideki Katagiri, Masatoshi Sakawa, Ko...
INFORMS
2008
241views more  INFORMS 2008»
15 years 5 months ago
Solving the Capacitated Local Access Network Design Problem
We propose an exact solution method for a routing and capacity installation problem in networks. Given an input graph, the problem is to route traffic from a set of source nodes t...
F. Sibel Salman, R. Ravi, John N. Hooker
ICMLA
2009
15 years 3 months ago
Learning Deep Neural Networks for High Dimensional Output Problems
State-of-the-art pattern recognition methods have difficulty dealing with problems where the dimension of the output space is large. In this article, we propose a new framework ba...
Benjamin Labbé, Romain Hérault, Cl&e...