- Closure to “Multiobjective Optimization of Postdisaster ...🔍
- "Closure to “Multiobjective Optimization of Postdisaster ...🔍
- Discussion of “Multiobjective Optimization of Postdisaster ...🔍
- Multiobjective Optimization of Postdisaster Reconstruction ...🔍
- Optimization of Multi|Objective Mobile Emergency Material ...🔍
- Decision|making optimization for post|disaster restoration of ...🔍
- Resilience‐Based Optimization of Postdisaster Restoration Strategy ...🔍
- Optimising post|disaster waste collection by a deep learning ...🔍
Closure to “Multiobjective Optimization of Postdisaster ...
Closure to “Multiobjective Optimization of Postdisaster ...
Closure to “Multiobjective Optimization of Postdisaster Reconstruction Processes for Ensuring Long-Term Socioeconomic Benefits” by Pedram Ghannad, Yong-Cheol ...
"Closure to “Multiobjective Optimization of Postdisaster ...
... Closure to “Multiobjective Optimization of Postdisaster Reconstruction Processes for Ensuring Long-Term Socioeconomic Benefits” by Pedram ...
Discussion of “Multiobjective Optimization of Postdisaster ...
Discussion of “Multiobjective Optimization of Postdisaster Reconstruction Processes for Ensuring Long-Term Socioeconomic Benefits” by Pedram ...
Multiobjective Optimization of Postdisaster Reconstruction ...
The primary goal of the proposed model is to optimize resource allocation and quantify and maximize socioeconomic benefits for a postdisaster reconstruction ...
Multiobjective Optimization of Postdisaster Reconstruction ...
A more recent work by Ghannad et al. (2020) proposed a multi-objective optimization model for recovery project prioritization in postdisaster reconstruction to ...
Optimization of Multi-Objective Mobile Emergency Material ...
(7) focused on 3D printing emergency supplies distribution to improve the shortage of post-disaster ... To get close to the actual situation of emergency ...
Decision-making optimization for post-disaster restoration of ...
... (Multiple Objective Particle Swarm Optimization) and CPLEX to solve the model. ... closed-loop supply chain network. Cheng and Jin (2019) designed a genetic ...
Resilience‐Based Optimization of Postdisaster Restoration Strategy ...
This work proposes a framework for the optimization of postdisaster road network restoration strategies from a perspective of resilience.
Optimising post-disaster waste collection by a deep learning ...
Enhancing Disaster Response with Advanced methods: The integration of LSTM machine learning with DE optimisation presents an innovative approach to disaster ...
Modeling Multi-Objective Optimization with Updating Information on ...
Unpredictable natural disasters brought by extreme climate change compound difficulties and cause a variety of systemic risks.
A simulation–optimization framework for post-disaster allocation of ...
... closer to resource-limited than it is resource-abundant. ... Coello Coello, C. A.: A Comprehensive Survey of Evolutionary-Based Multiobjective ...
Multi-objective location and routing problem for optimized post ...
Vehicle routing and scheduling is not considered in. Page 2. 2 the above. A hybrid fuzzy clustering-optimization approach for multi-objective dynamic.
[PDF] A Multiobjective Optimization Model for Continuous Allocation ...
This work proposes a multiobjective optimization model of emergency material allocation with continuous time-varying supply and demand constraints, ...
A new humanitarian relief logistic network for multi-objective ...
[42] formulated a mathematical model to minimize costs and unmet demand in post-disaster conditions (prevention phase). Uncertainties in demand ...
A simulation–optimization framework for post-disaster allocation of ...
Multi-objective mental health resource allocation optimization model. ensure a single optimal solution was achieved. Furthermore, this ...
Multi-objective two-stage stochastic optimization model for post ...
Post-disaster waste management is one of the most crucial tasks in the recovery phase of the disaster cycle, and it was created to assist affected communities ...
Multi‐objective optimization for community building group recovery ...
In these models, building RT, building FL, CBG resilience, and building recovery resources are considered, and the nondominated sorting genetic ...
Equitable post-disaster relief distribution a robust multi-objective ...
(2018) developed a multi-criteria optimization model for the last-mile distribution of relief commodities. To address equity, they evaluated weighted ...
Integrated System Design for Post-Disaster Management - MDPI
In this study, a bi-objective mathematical model was derived to support multi-period RRDM by optimal allocation of required facilities.
Developing an integrated model for planning the delivery of ... - OUCI
Ghannad, Multiobjective optimization of postdisaster reconstruction ... Multi-objective optimization of closed-loop supply chains to achieve ...