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» Solving Hierarchical Optimization Problems Using MOEAs
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JMLR
2010
149views more  JMLR 2010»
14 years 10 months ago
Learning Bayesian Network Structure using LP Relaxations
We propose to solve the combinatorial problem of finding the highest scoring Bayesian network structure from data. This structure learning problem can be viewed as an inference pr...
Tommi Jaakkola, David Sontag, Amir Globerson, Mari...
AUTOMATICA
2006
125views more  AUTOMATICA 2006»
15 years 3 months ago
Optimization over state feedback policies for robust control with constraints
This paper is concerned with the optimal control of linear discrete-time systems, which are subject to unknown but bounded state disturbances and mixed constraints on the state an...
Paul J. Goulart, Eric C. Kerrigan, Jan M. Maciejow...
CEC
2008
IEEE
15 years 9 months ago
NichingEDA: Utilizing the diversity inside a population of EDAs for continuous optimization
— Since the Estimation of Distribution Algorithms (EDAs) have been introduced, several single model based EDAs and mixture model based EDAs have been developed. Take Gaussian mod...
Weishan Dong, Xin Yao
APPROX
2005
Springer
111views Algorithms» more  APPROX 2005»
15 years 8 months ago
Sampling Bounds for Stochastic Optimization
A large class of stochastic optimization problems can be modeled as minimizing an objective function f that depends on a choice of a vector x ∈ X, as well as on a random external...
Moses Charikar, Chandra Chekuri, Martin Pál
ICCAD
1996
IEEE
114views Hardware» more  ICCAD 1996»
15 years 7 months ago
An efficient approach to simultaneous transistor and interconnect sizing
In this paper, we study the simultaneous transistor and interconnect sizing (STIS) problem. We de ne a class of optimization problems as CH-posynomial programs and reveal a genera...
Jason Cong, Lei He