A knee-guided differential evolution algorithm for unmanned aerial vehicle path planning in disaster management-Reference-Cited by-同舟云学术

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A knee-guided differential evolution algorithm for unmanned aerial vehicle path planning in disaster management

Published:2021-01 Issue: Volume:98 Page:106857
ISSN:1568-4946
Container-title:Applied Soft Computing
language:en
Short-container-title:Applied Soft Computing

Author:

Yu Xiaobing,Li Chenliang,Yen Gary G.

Funder

China Natural Science Foundation

Natural Science Foundation in Jiangsu Province, China

Major Project of Philosophy and Social Science Research in Colleges and Universities in Jiangsu province, China

Qing Lan Project, China

Postgraduate research and innovation plan project in Jiangsu Province, China

Publisher

Elsevier BV

Subject

Software

Reference63 articles.

1. Research on post-Wenchuan earthquake recovery and reconstruction implementation: A case study of housing reconstruction of Dujiangyan city;Li;Prog. Disaster Sci.,2019

2. Livelihood changes in Banda Aceh, Indonesia after the 2004 Indian ocean Tsunami;Ismail;Int. J. Disaster Risk Reduct.,2018

3. Prevalence and species richness of trematode parasites only partially recovers after the 2011 Tohoku, Japan, earthquake tsunami;Miura;Int. J. Parasitol.,2019

4. Twelve years later: The long-term mental health consequences of Hurricane Katrina;Raker;Soc. Sci. Med.,2019

5. Help from the sky: Leveraging UAVs for disaster management;Erdelj;IEEE Pervasive Comput.,2017

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