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AISC
2008
Springer
13 years 12 months ago
Strategies for Solving SAT in Grids by Randomized Search
Grid computing offers a promising approach to solving challenging computational problems in an environment consisting of a large number of easily accessible resources. In this pape...
Antti Eero Johannes Hyvärinen, Tommi A. Juntt...
GECCO
2008
Springer
168views Optimization» more  GECCO 2008»
13 years 11 months ago
Speed-up techniques for solving large-scale bTSP with the Two-Phase Pareto Local Search
We first present a method, called Two-Phase Pareto Local Search, to find a good approximation of the efficient set of the biobjective traveling salesman problem. In the first p...
Thibaut Lust
AAAI
2006
13 years 11 months ago
Solving MAP Exactly by Searching on Compiled Arithmetic Circuits
The MAP (maximum a posteriori hypothesis) problem in Bayesian networks is to find the most likely states of a set of variables given partial evidence on the complement of that set...
Jinbo Huang, Mark Chavira, Adnan Darwiche
SOICT
2010
13 years 4 months ago
Constraint-based local search for solving non-simple paths problems on graphs: application to the routing for network covering p
Routing problems have been considered as central problems in the fields of transportation, distribution and logistics. LS(Graph) is a generic framework allowing to model and solve...
Pham Quang Dung, Phan-Thuan Do, Yves Deville, Tuon...
EVOW
2005
Springer
14 years 3 months ago
Scatter Search Particle Filter to Solve the Dynamic Travelling Salesman Problem
This paper presents the Scatter Search Particle Filter (SSPF) algorithm and its application to the Dynamic Travelling Salesman Problem (DTSP). SSPF combines sequential estimation a...
Juan José Pantrigo, Abraham Duarte, Á...