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HEURISTICS
2006
95views more  HEURISTICS 2006»
13 years 7 months ago
Hard and soft constraints for reasoning about qualitative conditional preferences
Many real life optimization problems are defined in terms of both hard and soft constraints, and qualitative conditional preferences. However, there is as yet no single framework f...
Carmel Domshlak, Steven David Prestwich, Francesca...
CC
2002
Springer
126views System Software» more  CC 2002»
13 years 7 months ago
On the hardness of approximating the permanent of structured matrices
We show that for several natural classes of "structured" matrices, including symmetric, circulant, Hankel and Toeplitz matrices, approximating the permanent modulo a prim...
Bruno Codenotti, Igor Shparlinski, Arne Winterhof
ECCC
2010
78views more  ECCC 2010»
13 years 7 months ago
PCPs and the Hardness of Generating Synthetic Data
Assuming the existence of one-way functions, we show that there is no polynomial-time, differentially private algorithm A that takes a database D ({0, 1}d )n and outputs a "...
Jonathan Ullman, Salil P. Vadhan
CP
2007
Springer
14 years 1 months ago
Hierarchical Hardness Models for SAT
Abstract. Empirical hardness models are a recent approach for studying NP-hard problems. They predict the runtime of an instance using efficiently computable features. Previous res...
Lin Xu, Holger H. Hoos, Kevin Leyton-Brown
GECCO
2007
Springer
161views Optimization» more  GECCO 2007»
14 years 1 months ago
Alternative techniques to solve hard multi-objective optimization problems
In this paper, we propose the combination of different optimization techniques in order to solve “hard” two- and threeobjective optimization problems at a relatively low comp...
Ricardo Landa Becerra, Carlos A. Coello Coello, Al...