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K-Shortest-Path-Based Evacuation Routing with Police Resource Allocation in City Transportation Networks. [PDF]
He Y +5 more
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Learning to Decompose: Human-Like Subgoal Preferences Emerge in Neural Networks Learning Graph Traversal. [PDF]
Li Y, McClelland JL.
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Reinforcement Learning-Based Intelligent Path Planning for Optimal Navigation in Dynamic Environments. [PDF]
Yadav AK, Sharma P, Cheng X, Shukla SSP.
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Automatic selection of generating nodes in the traffic model based on k shortest paths
P. Kanadys, A. Żochowski
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When Droplets Can "Think": Intelligent Testing in Digital Microfluidic Chips. [PDF]
Luo Z, Li S, Long W, Chen R, Zheng J.
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White Matter Structural Network Dysfunction Mediates the Effect of Hypertension on Cognitive Decline in Parkinson Disease. [PDF]
Shu L, Li S, Lin L, Yu Y, Liao B, Lu T.
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SHORTEST PATHS ON A POLYHEDRON, Part I: COMPUTING SHORTEST PATHS
International Journal of Computational Geometry & Applications, 1996We present an algorithm for determining the shortest path between any two points along the surface of a polyhedron which need not be convex. This algorithm also computes for any source point on the surface of a polyhedron the inward layout and the subdivision of the polyhedron which can be used for processing queries of shortest paths between the ...
Chen, Jindong, Han, Yijie
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2008
Shortest path problems are fundamental network optimization problems arising in many contexts and having a wide range of applications, including dynamic programming, project management, knapsack problems, routing in data networks, and transportation problems.
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Shortest path problems are fundamental network optimization problems arising in many contexts and having a wide range of applications, including dynamic programming, project management, knapsack problems, routing in data networks, and transportation problems.
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Dynamic shortest‐path interdiction
Networks, 2016We study a dynamic network game between an attacker and a user. The user wishes to find a shortest path between a pair of nodes in a directed network, and the attacker seeks to interdict a subset of arcs to maximize the user's shortest‐path cost. In contrast to most previous studies, the attacker can interdict arcs any time the user reaches a node in ...
Sefair, Jorge A., Smith, J. Cole
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