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ICRA
1998
IEEE
142views Robotics» more  ICRA 1998»
13 years 10 months ago
Lagrangian Relaxation Neural Networks for Job Shop Scheduling
Abstract--Manufacturing scheduling is an important but difficult task. In order to effectively solve such combinatorial optimization problems, this paper presents a novel Lagrangia...
Peter B. Luh, Xing Zhao, Yajun Wang
PASTE
1998
ACM
13 years 9 months ago
Efficient Composite Data Flow Analysis Applied to Concurrent Programs
FLAVERS, a tool for verifying properties of concurrent systems, uses composite data flow analysis to incrementally improve the precision of the results of its verifications. Altho...
Gleb Naumovich, Lori A. Clarke, Leon J. Osterweil
TNN
2010
182views Management» more  TNN 2010»
13 years 9 days ago
A discrete-time neural network for optimization problems with hybrid constraints
Abstract--Recurrent neural networks have become a prominent tool for optimizations including linear or nonlinear variational inequalities and programming, due to its regular mathem...
Huajin Tang, Haizhou Li, Zhang Yi
NN
2000
Springer
128views Neural Networks» more  NN 2000»
13 years 5 months ago
A recurrent neural network for solving linear projection equations
Linear projection equations arise in many optimization problems and have important applications in science and engineering. In this paper, we present a recurrent neural network fo...
Youshen Xia, Jun Wang
NIPS
1994
13 years 7 months ago
Using a neural net to instantiate a deformable model
Deformable models are an attractive approach to recognizing nonrigid objects which have considerable within class variability. However, there are severe search problems associated...
Christopher K. I. Williams, Michael Revow, Geoffre...