PERMS: An efficient rescue route planning system in disasters

The occurrence of natural and man-made disasters usually leads to significant social and economic disruption, as well as high numbers of casualties. Such occurrences are difficult to predict due to the huge number of parameters with mutual interdependencies which need to be investigated to provide r...

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Vydané v:	Applied soft computing Ročník 111; s. 107667
Hlavní autori:	Xu, Xiaolong, Zhang, Lei, Trovati, Marcello, Palmieri, Francesco, Asimakopoulou, Eleana, Johnny, Olayinka, Bessis, Nik
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 01.11.2021
Predmet:	Chaotic search Emergency rescue planning Glow-worm swarm optimisation K-means++ clustering algorithm K-means++ clustering algorithm Chaotic search Glow-worm swarm optimisation Emergency rescue planning
ISSN:	1568-4946, 1872-9681
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