A Clustering-Based Surrogate-Assisted Multiobjective Evolutionary Algorithm for Shelter Location Problem Under Uncertainty of Road Networks

The shelter location is very important for evacuation planning in natural disasters, and evolutionary algorithms (EAs) have demonstrated their effectiveness in solving this challenging problem. However, few EAs have been reported focusing on the shelter location problem under uncertainty of road net...

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Veröffentlicht in:	IEEE transactions on industrial informatics 2020-12, Vol.16 (12), p.7544-7555
Hauptverfasser:	Xiang, Xiaoshu, Tian, Ye, Xiao, Jianhua, Zhang, Xingyi
Format:	Artikel
Sprache:	eng
Schlagworte:	Clustering Disaster management Earthquakes Evacuation Evolutionary algorithm (EA) Evolutionary algorithms Evolutionary computation Genetic algorithms multiobjective optimization Natural disasters Networks Optimization Radial basis function Roads shelter location Site selection Sociology Statistics surrogate model Uncertainty
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