2020 2nd International Conference on Industrial Artificial Intelligence (IAI) 2020
DOI: 10.1109/iai50351.2020.9262178
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Study of Modeling Earthquake Emergency Rescue Material Scheduling Problems by Multi-objective Optimization Algorithms

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Cited by 3 publications
(3 citation statements)
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“…Scholars have conducted studies on earthquake emergency management from different perspectives to address the issues faced at different stages. The most prevalent topics include earthquake casualty analysis [21,22], rescue capability analysis [23,24], relief distribution [25,26] and routing [27][28][29], and facility location [30,31]. In contrast, manpower planning is another important topic in the context of earthquake emergency management, but it has received limited attention [32].…”
Section: Literature Reviewmentioning
confidence: 99%
See 1 more Smart Citation
“…Scholars have conducted studies on earthquake emergency management from different perspectives to address the issues faced at different stages. The most prevalent topics include earthquake casualty analysis [21,22], rescue capability analysis [23,24], relief distribution [25,26] and routing [27][28][29], and facility location [30,31]. In contrast, manpower planning is another important topic in the context of earthquake emergency management, but it has received limited attention [32].…”
Section: Literature Reviewmentioning
confidence: 99%
“…Table 1 presents a summary of the main studies on post-earthquake rescuer scheduling. Through the above studies' review, we can find that existing studies provide some methods and ideas that can be used as a reference in this paper, such as the consideration of rescuer capability and rescue time [26,33,36] and the construction of a rescuer dispatch model [10,38]. However, existing research still has some limitations.…”
Section: Literature Reviewmentioning
confidence: 99%
“…For example, they can help in determining the optimal distribution of relief supplies to maximise their impact and minimise wastage [66]. IMOO techniques can also assist in decision making under uncertainty by generating multiple solutions to a problem, which allows stakeholders to choose the best option based on their specific needs and preferences [67]. These techniques have also been utilised to optimise resource allocation and decision making during disaster response.…”
Section: Supporting Techniques For Disaster Managementmentioning
confidence: 99%