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PPSN
2010
Springer
13 years 6 months ago
Design and Comparison of two Evolutionary Approaches for Solving the Rubik's Cube
Solutions calculated by Evolutionary Algorithms have come to surpass exact methods for solving various problems. The Rubik’s Cube multiobjective optimization problem is one such ...
Nail El-Sourani, Markus Borschbach
AAAI
2000
13 years 9 months ago
Iterative Flattening: A Scalable Method for Solving Multi-Capacity Scheduling Problems
One challenge for research in constraint-based scheduling has been to produce scalable solution procedures under fairly general representational assumptions. Quite often, the comp...
Amedeo Cesta, Angelo Oddi, Stephen F. Smith
MOC
2000
105views more  MOC 2000»
13 years 7 months ago
On the iteratively regularized Gauss-Newton method for solving nonlinear ill-posed problems
The iteratively regularized Gauss-Newton method is applied to compute the stable solutions to nonlinear ill-posed problems F (x) = y when the data y is given approximately by y wit...
Jin Qi-nian
CRYPTO
2007
Springer
132views Cryptology» more  CRYPTO 2007»
14 years 1 months ago
How Should We Solve Search Problems Privately?
Abstract. Secure multiparty computation allows a group of distrusting parties to jointly compute a (possibly randomized) function of their inputs. However, it is often the case tha...
Amos Beimel, Tal Malkin, Kobbi Nissim, Enav Weinre...
ATAL
2011
Springer
12 years 7 months ago
Concise characteristic function representations in coalitional games based on agent types
Forming effective coalitions is a major research challenge in AI and multi-agent systems (MAS). Thus, coalitional games, including Coalition Structure Generation (CSG), have been ...
Suguru Ueda, Makoto Kitaki, Atsushi Iwasaki, Makot...