A resilience-based framework for decision making based on simulation-optimization approach
Tài liệu tham khảo
Sahin, 2011
Nozhati, 2020, Stochastic optimal control methodologies in risk-informed community resilience planning, Struct Saf, 84, 10.1016/j.strusafe.2019.101920
Papakonstantinou, 2014, Planning structural inspection and maintenance policies via dynamic programming and Markov processes. Part II: POMDP implementation, Reliab Eng Syst Safety, 130, 214, 10.1016/j.ress.2014.04.006
Nozhati, 2020, Optimal stochastic dynamic scheduling for managing community recovery from natural hazards, Reliab Eng Syst Saf, 193, 10.1016/j.ress.2019.106627
Nozhati, 2019, Near-optimal planning using approximate dynamic programming to enhance post-hazard community resilience management, Reliab Eng Syst Saf, 181, 116, 10.1016/j.ress.2018.09.011
Office of the Press Secretary the White House (2013): Presidential policy directive – critical infrastructure security and resilience. Office of the Press Secretary.
Bruneau, 2003, A framework to quantitatively assess and enhance the seismic resilience of communities, Earthquake Spectra, 19, 733, 10.1193/1.1623497
Nozhati S, Ellingwood BR, Mahmoud H, van de Lindt JW (2018): Identifying and analyzing interdependent critical infrastructure in post-earthquake urban reconstruction. In 11th US National Conference on Earthquake Engineering: Integrating Science Engineering and Policy.
Masoomi, 2018, Restoration and functionality assessment of a community subjected to tornado hazard, Struct Infrastruct Eng, 14, 275, 10.1080/15732479.2017.1354030
Masoomi, H. (2018): A resilience-based decision framework to determine performance targets for the built environment, Doctoral dissertation, Colorado State University.
Nozhati, 2019, Probabilistic framework for evaluating food security of households in the aftermath of a disaster, Struct Infrastruct Eng, 15, 1060, 10.1080/15732479.2019.1584824
Tamhidi, 2020, The effect of soil modeling on the nonlinear response of SDOF structures, ASCE Struct Congress
Puterman ML. Markov decision processes. Handbooks in operations research and management science; 1990, 2, 331–434.
Bertsekas, 1995
Nozhati, 2019
Bertsekas, 1999, Rollout algorithms for stochastic scheduling problems, J Heuristics, 5, 89, 10.1023/A:1009634810396
Chang, 2004, Parallel rollout for online solution of partially observable Markov decision processes, Discrete Event Dynamic Syst, 14, 309, 10.1023/B:DISC.0000028199.78776.c4