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PPL
2010
117views more  PPL 2010»
15 years 1 months ago
Neighborhood Structures for GPU-Based Local Search Algorithms
Local search (LS) algorithms are among the most powerful techniques for solving computationally hard problems in combinatorial optimization. These algorithms could be viewed as &q...
Thé Van Luong, Nouredine Melab, El-Ghazali ...
WADS
2009
Springer
226views Algorithms» more  WADS 2009»
16 years 25 days ago
Integer Programming: Optimization and Evaluation Are Equivalent
Abstract We show that if one can find the optimal value of an integer programming problem min{cx : Ax ≥ b, x ∈ Zn +} in polynomial time, then one can find an optimal solution...
James B. Orlin, Abraham P. Punnen, Andreas S. Schu...
ICASSP
2009
IEEE
16 years 1 months ago
Fast LCD motion deblurring by decimation and optimization
The LCD deblurring problem is considered as a simple bounded quadratic programming problem and is solved using conjugate gradient with early stopping criteria to avoid excessive s...
Stanley H. Chan, Truong Q. Nguyen
GECCO
2004
Springer
15 years 11 months ago
Systematic Integration of Parameterized Local Search Techniques in Evolutionary Algorithms
Application-specific, parameterized local search algorithms (PLSAs), in which optimization accuracy can be traded off with runtime, arise naturally in many optimization contexts....
Neal K. Bambha, Shuvra S. Bhattacharyya, Jürg...
ICAART
2010
INSTICC
16 years 3 months ago
Complexity of Stochastic Branch and Bound Methods for Belief Tree Search in Bayesian Reinforcement Learning
There has been a lot of recent work on Bayesian methods for reinforcement learning exhibiting near-optimal online performance. The main obstacle facing such methods is that in most...
Christos Dimitrakakis