Applications of artificial intelligence for disaster management

W Sun, P Bocchini, BD Davison - Natural Hazards, 2020 - Springer
Natural hazards have the potential to cause catastrophic damage and significant
socioeconomic loss. The actual damage and loss observed in the recent decades has …

Modern computational approaches for rice yield prediction: A systematic review of statistical and machine learning-based methods

D De Clercq, A Mahdi - Computers and Electronics in Agriculture, 2025 - Elsevier
Context: Rice is a critical food source for over half the global population, making yield
forecasting important for food security and agricultural planning. Advances in statistical …

A stochastic programming model for emergency supplies pre-positioning, transshipment and procurement in a regional healthcare coalition

Q Wang, Z Liu, P Jiang, L Luo - Socio-Economic Planning Sciences, 2022 - Elsevier
A regional healthcare coalition enables its member hospitals to conduct an integrated
emergency supply management, which is seldom addressed in the existing literature. In this …

A heuristic-based simulated annealing algorithm for the scheduling of relief teams in natural disasters

S Nayeri, R Tavakkoli-Moghaddam, Z Sazvar… - Soft Computing, 2022 - Springer
Natural disasters cause heavy casualties and financial losses annually. To reduce these
damages, the rescue teams need to be planned effectively. In this regard, in this research, a …

Review on intelligent pipeline technologies: A life cycle perspective

Z Li, Y Liang, Y Liang, Q Liao, B Wang, L Huang… - Computers & Chemical …, 2023 - Elsevier
The pipeline is one of the important carriers in the petroleum industry, but facing with the
development bottlenecks of low efficiency, high cost and high decision risk. With machine …

A discrete teaching–learning based optimization algorithm with local search for rescue task allocation and scheduling

Y Xu, X Li, Q Li - Applied Soft Computing, 2023 - Elsevier
The allocation and scheduling of the emergency rescue forces is a fundamental task in
emergency management. This paper aims to address the allocation and scheduling problem …

A globalized robust optimization method for sustainable humanitarian relief network design with uncertain scenario probabilities

Z Wang, Y Liu, W Li - Sustainable Cities and Society, 2023 - Elsevier
Disorganized treatment of casualties and irrational distribution of medical supplies pose
significant challenges to relief activities, and recent disasters have brought attention to the …

Optimising stochastic task allocation and scheduling plans for mission workers subject to learning-forgetting, fatigue-recovery, and stress-recovery effects

N Asadayoobi, S Taghipour, MY Jaber - Expert Systems with Applications, 2023 - Elsevier
This study addresses the stochastic bi-objective task allocation and scheduling problems for
mission workers subject to the complex (and joint) effect of learning-forgetting, fatigue …

A fuzzy robust planning model in the disaster management response phase under precedence constraints

S Nayeri, Z Sazvar, J Heydari - Operational Research, 2022 - Springer
This study analyzes the rescue team assignment problem as a critical issue in disaster
management rescue operations. A mathematical model is proposed to minimize the total …

Equitable post-disaster relief distribution: a robust multi-objective multi-stage optimization approach

S Soghrati Ghasbeh, N Pourmohammadzia… - … Logistics and Supply …, 2022 - emerald.com
Purpose This paper aims to address a location-distribution-routing problem for distributing
relief commodities during a disaster under uncertainty by creating a multi-stage model that …