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SIAMJO
2008
57views more  SIAMJO 2008»
15 years 21 days ago
Universal Confidence Sets for Solutions of Optimization Problems
We consider random approximations to deterministic optimization problems. The objective function and the constraint set can be approximated simultaneously. Relying on concentratio...
Silvia Vogel
CP
2006
Springer
15 years 4 months ago
Performance Prediction and Automated Tuning of Randomized and Parametric Algorithms
Abstract. Machine learning can be utilized to build models that predict the runtime of search algorithms for hard combinatorial problems. Such empirical hardness models have previo...
Frank Hutter, Youssef Hamadi, Holger H. Hoos, Kevi...
136
Voted
COR
2011
14 years 7 months ago
A hybrid shifting bottleneck-tabu search heuristic for the job shop total weighted tardiness problem
: In this paper, we study the job shop scheduling problem with the objective of minimizing the total weighted tardiness. We propose a hybrid shifting bottleneck - tabu search (SB-T...
Kerem Bülbül
JCO
2007
123views more  JCO 2007»
15 years 20 days ago
On the number of local minima for the multidimensional assignment problem
The Multidimensional Assignment Problem (MAP) is an NP-hard combinatorial optimization problem occurring in many applications, such as data association, target tracking, and resou...
Don A. Grundel, Pavlo A. Krokhmal, Carlos A. S. Ol...
126
Voted
CORR
2012
Springer
193views Education» more  CORR 2012»
13 years 8 months ago
Search versus Decision for Election Manipulation Problems
Most theoretical definitions about the complexity of manipulating elections focus on the decision problem of recognizing which instances can be successfully manipulated, rather t...
Edith Hemaspaandra, Lane A. Hemaspaandra, Curtis M...