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AAAI
1998
13 years 8 months ago
Finding Optimal Strategies for Imperfect Information Games
Weexaminethree heuristic algorithms for gameswith imperfect information: Monte-carlo sampling, and two newalgorithms wecall vector minimaxingand payoffreduction minimaxing. Wecomp...
Ian Frank, David A. Basin, Hitoshi Matsubara
ROBOCUP
2005
Springer
164views Robotics» more  ROBOCUP 2005»
14 years 27 days ago
Laser-Based Localization with Sparse Landmarks
Abstract. Self-localization in dynamic environments is a central problem in mobile robotics and is well studied in the literature. One of the most popular methods is the Monte Carl...
Andreas Strack, Alexander Ferrein, Gerhard Lakemey...
ANOR
2005
120views more  ANOR 2005»
13 years 7 months ago
Solving the Vehicle Routing Problem with Stochastic Demands using the Cross-Entropy Method
An alternate formulation of the classical vehicle routing problem with stochastic demands (VRPSD) is considered. We propose a new heuristic method to solve the problem. The algori...
Krishna Chepuri, Tito Homem-de-Mello
KR
1989
Springer
13 years 11 months ago
Situated Control Rules
In this work we extend the work of Dean, Kaelbling, Kirman and Nicholson on planning under time constraints in stochastic domains to handle more complicated scheduling problems. I...
Mark Drummond
CEC
2007
IEEE
13 years 11 months ago
An ant system with steps counter for the job shop scheduling problem
In this paper, we present an ant system algorithm variant designed to solve the job shop scheduling problem. The proposed approach is based on a recent biological study which showe...
Emanuel Tellez-Emiquez, Efrén Mezura-Montes...