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» A Guided Monte Carlo Approach to Optimization Problems
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GECCO
2007
Springer
211views Optimization» more  GECCO 2007»
14 years 1 months ago
An extremal optimization search method for the protein folding problem: the go-model example
The protein folding problem consists of predicting the functional (native) structure of the protein given its linear sequence of amino acids. Despite extensive progress made in un...
Alena Shmygelska
AIPS
2006
13 years 8 months ago
Sequential Monte Carlo in Probabilistic Planning Reachability Heuristics
The current best conformant probabilistic planners encode the problem as a bounded length CSP or SAT problem. While these approaches can find optimal solutions for given plan leng...
Daniel Bryce, Subbarao Kambhampati, David E. Smith
AI
2008
Springer
13 years 7 months ago
Sequential Monte Carlo in reachability heuristics for probabilistic planning
The current best conformant probabilistic planners encode the problem as a bounded length CSP or SAT problem. While these approaches can find optimal solutions for given plan leng...
Daniel Bryce, Subbarao Kambhampati, David E. Smith
PVM
1998
Springer
13 years 11 months ago
Implementation of Monte Carlo Algorithms for Eigenvalue Problem Using MPI
The problem of evaluating the dominant eigenvalue of real matrices using Monte Carlo numerical methods is considered. Three almost optimal Monte Carlo algorithms are presented:
Ivan Dimov, Vassil N. Alexandrov, Aneta Karaivanov...
AMS
2007
Springer
294views Robotics» more  AMS 2007»
14 years 1 months ago
Active Monte Carlo Localization in Outdoor Terrains Using Multi-level Surface Maps
Abstract. In this paper we consider the problem of active mobile robot localization with range sensors in outdoor environments. In contrast to passive approaches our approach activ...
Rainer Kümmerle, Patrick Pfaff, Rudolph Trieb...