Dynamic repositioning to reduce lost demand in bike sharing systems
Bike Sharing Systems (BSSs) are widely adopted in major cities of the world due to
concerns associated with extensive private vehicle usage, namely, increased carbon …
concerns associated with extensive private vehicle usage, namely, increased carbon …
Risk based optimization for improving emergency medical systems
In emergency medical systems, arriving at the incident locationa few seconds early can save
a human life. Thus, this paper is motivated by the need to reduce the response time–time …
a human life. Thus, this paper is motivated by the need to reduce the response time–time …
Collective diffusion over networks: Models and inference
Diffusion processes in networks are increasingly used to model the spread of information
and social influence. In several applications in computational sustainability such as the …
and social influence. In several applications in computational sustainability such as the …
Stochastic network design in bidirected trees
We investigate the problem of stochastic network design in bidirected trees. In this problem,
an underlying phenomenon (eg, a behavior, rumor, or disease) starts at multiple sources in …
an underlying phenomenon (eg, a behavior, rumor, or disease) starts at multiple sources in …
Hindsight optimization for probabilistic planning with factored actions
Inspired by the success of the satisfiability approach for deterministic planning, we propose
a novel framework for on-line stochastic planning, by embedding the idea of hindsight …
a novel framework for on-line stochastic planning, by embedding the idea of hindsight …
Parameter learning for latent network diffusion
X Wu, A Kumar, D Sheldon, S Zilberstein - 2013 - ink.library.smu.edu.sg
Diffusion processes in networks are increasingly used to model dynamic phenomena such
as the spread of information, wildlife, or social influence. Our work addresses the problem of …
as the spread of information, wildlife, or social influence. Our work addresses the problem of …
Optimizing resilience in large scale networks
We propose a decision making framework to optimize the resilience of road networks to
natural disasters such as floods. Our model generalizes an existing one for this problem by …
natural disasters such as floods. Our model generalizes an existing one for this problem by …
Rounded dynamic programming for tree-structured stochastic network design
We develop a fast approximation algorithm called rounded dynamic programming (RDP) for
stochastic network design problems on directed trees. The underlying model describes …
stochastic network design problems on directed trees. The underlying model describes …
Robust optimization for tree-structured stochastic network design
Stochastic network design is a general framework for optimizing network connectivity. It has
several applications in computational sustainability including spatial conservation planning …
several applications in computational sustainability including spatial conservation planning …
Scheduling and Online Planning in Stochastic Diffusion Networks
S Xue - 2020 - ir.library.oregonstate.edu
Reserve site selection is a key problem in conservation planning in which planners select
land regions to be designated as nature reserves, either to achieve general conservation …
land regions to be designated as nature reserves, either to achieve general conservation …