Scenario-Based Multi-Objective Optimum Allocation Model for Earthquake Emergency Shelters Using a Modified Particle Swarm Optimization Algorithm: A Case Study in Chaoyang District, Beijing, China

The correct location of earthquake emergency shelters and their allocation to residents can effectively reduce the number of casualties by providing safe havens and efficient evacuation routes during the chaotic period of the unfolding disaster. However, diverse and strict constraints and the discre...

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Bibliographic Details
Published in:	PloS one Vol. 10; no. 12; p. e0144455
Main Authors:	Zhao, Xiujuan, Xu, Wei, Ma, Yunjia, Hu, Fuyu
Format:	Journal Article
Language:	English
Published:	United States Public Library of Science 07.12.2015 Public Library of Science (PLoS)
Subjects:	Algorithms Analysis Applied mathematics Beijing Case reports Case studies Casualties China Civilian evacuation Construction costs Cybernetics Disaster Planning Disasters Earthquakes Education Emergency preparedness Emergency Shelter Environmental aspects Evacuation Evacuation routing Genetic algorithms Geography Homeless shelters Humans International conferences Laboratories Linear programming Models, Theoretical Multiple objective Multiple objective analysis Neural networks Objectives Operations research Optimization Optimization techniques Optimization theory Particle swarm optimization Residence Characteristics Residential areas Seismic activity Seismic engineering Shelters Swarm intelligence Beijing China Beijing China
ISSN:	1932-6203, 1932-6203
Online Access:	Get full text
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