most citedNear-optimal planning using approximate dynamic programming to enhance post-hazard community resilience management

62 citations · 90 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CY2018

An approximate dynamic programming approach to food security of communities following hazards

Saeed Nozhati, Yugandhar Sarkale, Bruce R. Ellingwood +2

Food security can be threatened by extreme natural hazard events for households of all social classes within a community. To address food security issues following a natural disast…

cs.CY2018

An Approximate Dynamic Programming Approach to Community Recovery Management (Extended Abstract)

Saeed Nozhati, Bruce R. Ellingwood, Hussam Mahmoud +3

The functioning of interdependent civil infrastructure systems in the aftermath of a disruptive event is critical to the performance and vitality of any modern urban community. Pos…

cs.CE2018★ 13 cited

A Modified Approximate Dynamic Programming Algorithm for Community-level Food Security Following Disasters

Saeed Nozhati, Yugandhar Sarkale, Bruce R. Ellingwood +2

In the aftermath of an extreme natural hazard, community residents must have access to functioning food retailers to maintain food security. Food security is dependent on supportin…

math.OC2018★ 62 cited

Near-optimal planning using approximate dynamic programming to enhance post-hazard community resilience management

Saeed Nozhati, Yugandhar Sarkale, Bruce Ellingwood +2

The lack of a comprehensive decision-making approach at the community level is an important problem that warrants immediate attention. Network-level decision-making algorithms need…

math.OC2018★ 15 cited

Solving Markov decision processes for network-level post-hazard recovery via simulation optimization and rollout

Yugandhar Sarkale, Saeed Nozhati, Edwin K. P. Chong +2

Computation of optimal recovery decisions for community resilience assurance post-hazard is a combinatorial decision-making problem under uncertainty. It involves solving a large-s…