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SLS
2009
Springer
243views Algorithms» more  SLS 2009»
14 years 2 months ago
Estimating Bounds on Expected Plateau Size in MAXSAT Problems
Stochastic local search algorithms can now successfully solve MAXSAT problems with thousands of variables or more. A key to this success is how effectively the search can navigate...
Andrew M. Sutton, Adele E. Howe, L. Darrell Whitle...
CP
2010
Springer
13 years 6 months ago
An Empirical Study of Optimization for Maximizing Diffusion in Networks
Abstract. We study the problem of maximizing the amount of stochastic diffusion in a network by acquiring nodes within a certain limited budget. We use a Sample Average Approximati...
Kiyan Ahmadizadeh, Bistra N. Dilkina, Carla P. Gom...
CEC
2010
IEEE
13 years 9 months ago
A Mean-Variance Optimization algorithm
A new stochastic optimization algorithm referred to by the authors as the `Mean-Variance Optimization' (MVO) algorithm is presented in this paper. MVO falls into the category ...
Istvan Erlich, Ganesh K. Venayagamoorthy, Nakawiro...
SIAMCO
2010
103views more  SIAMCO 2010»
13 years 2 months ago
On Some Systems Controlled by the Structure of Their Memory
We consider an optimal control problem governed by an ODE with memory playing the role of a control. We show the existence of an optimal solution and derive some necessary optimal...
G. Buttazzo, G. Carlier, R. Tahraoui
AAAI
2010
13 years 4 months ago
A Cross-Entropy Method that Optimizes Partially Decomposable Problems: A New Way to Interpret NMR Spectra
Some real-world problems are partially decomposable, in that they can be decomposed into a set of coupled subproblems, that are each relatively easy to solve. However, when these ...
Siamak (Moshen) Ravanbakhsh, Barnabás P&oac...