Risk-sensitive stochastic orienteering problems for trip optimization in urban environments

Risk-sensitive stochastic orienteering problems for trip optimization in urban environments

Orienteering Problems (OPs) are used to model many routing and trip planning problems. OPs are a variantof the well-known traveling salesman problem where the goal is to compute the highest reward path thatincludes a subset of vertices and has an overall travel time less than a specified deadline. H...

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Bibliographic Details
Main Authors: VARAKANTHAM, Pradeep, KUMAR, Akshat, LAU, Hoong Chuin, YEOH, William
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2018
Subjects:
Orienteering problems
risk-sensitive optimization
sample average approximation
Artificial Intelligence and Robotics
Operations Research, Systems Engineering and Industrial Engineering
Online Access:https://ink.library.smu.edu.sg/sis_research/3990
https://ink.library.smu.edu.sg/context/sis_research/article/4992/viewcontent/Risk_SensitiveStochasticOrienteeringProblems_2018_afv.pdf
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Institution: Singapore Management University
Language: English

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https://ink.library.smu.edu.sg/sis_research/3990
https://ink.library.smu.edu.sg/context/sis_research/article/4992/viewcontent/Risk_SensitiveStochasticOrienteeringProblems_2018_afv.pdf

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