A hierarchical mathematical model of the earthquake shelter location-allocation problem solved using an interleaved MPSO–GA

Earthquake disaster management involves determining locations in which to construct shelters and how to allocate the affected population to them. A multi-objective, hierarchical mathematical model, allied with an interleaved modified particle swarm optimization algorithm and genetic algorithm (MPSO–...
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Gespeichert in:

Autor*in:	Xiujuan Zhao [verfasserIn] Graham Coates [verfasserIn] Wei Xu [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2019

Schlagwörter:	optimization earthquake shelter location-allocation interleaved mpso–ga

Übergeordnetes Werk:	In: Geomatics, Natural Hazards & Risk - Taylor & Francis Group, 2016, 10(2019), 1, Seite 1712-1737
Übergeordnetes Werk:	volume:10 ; year:2019 ; number:1 ; pages:1712-1737

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc Journal toc

DOI / URN:	10.1080/19475705.2019.1609605

Katalog-ID:	DOAJ064291367

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callnumber-first	T - Technology
author	Xiujuan Zhao
spellingShingle	Xiujuan Zhao misc TD1-1066 misc GE1-350 misc optimization misc earthquake shelter location-allocation misc interleaved mpso–ga misc Environmental technology. Sanitary engineering misc Environmental sciences misc Risk in industry. Risk management misc HD61 A hierarchical mathematical model of the earthquake shelter location-allocation problem solved using an interleaved MPSO–GA
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topic_title	TD1-1066 GE1-350 A hierarchical mathematical model of the earthquake shelter location-allocation problem solved using an interleaved MPSO–GA optimization earthquake shelter location-allocation interleaved mpso–ga
topic	misc TD1-1066 misc GE1-350 misc optimization misc earthquake shelter location-allocation misc interleaved mpso–ga misc Environmental technology. Sanitary engineering misc Environmental sciences misc Risk in industry. Risk management misc HD61
topic_unstemmed	misc TD1-1066 misc GE1-350 misc optimization misc earthquake shelter location-allocation misc interleaved mpso–ga misc Environmental technology. Sanitary engineering misc Environmental sciences misc Risk in industry. Risk management misc HD61
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title	A hierarchical mathematical model of the earthquake shelter location-allocation problem solved using an interleaved MPSO–GA
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title_full	A hierarchical mathematical model of the earthquake shelter location-allocation problem solved using an interleaved MPSO–GA
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title_sort	hierarchical mathematical model of the earthquake shelter location-allocation problem solved using an interleaved mpso–ga
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title_auth	A hierarchical mathematical model of the earthquake shelter location-allocation problem solved using an interleaved MPSO–GA
abstract	Earthquake disaster management involves determining locations in which to construct shelters and how to allocate the affected population to them. A multi-objective, hierarchical mathematical model, allied with an interleaved modified particle swarm optimization algorithm and genetic algorithm (MPSO–GA), have been developed to solve the earthquake shelter location-allocation problem. From a set of candidate shelter locations, the model first determines which of these should act as emergency shelters and then which should be used as long-term shelters, while simultaneously optimizing the allocation of a population to them. Damage caused to evacuation routes is considered in addition to the number of evacuees and shelter capacity. In terms of the model’s emergency and long-term shelter stages, the objectives are to minimize (i) total weighted evacuation time, and (ii) total shelter area used. An interleaved MPSO–GA applied to the model yielded better results than achieved using MPSO or GA in isolation. For a case study with an earthquake affecting the area of Jinzhan within Beijing’s Chaoyang district in China, results generated present government with a range of solution options. Thus, based on government preferences, choices can be made regarding the locations in which to construct shelters and how to allocate the population to them.
abstractGer	Earthquake disaster management involves determining locations in which to construct shelters and how to allocate the affected population to them. A multi-objective, hierarchical mathematical model, allied with an interleaved modified particle swarm optimization algorithm and genetic algorithm (MPSO–GA), have been developed to solve the earthquake shelter location-allocation problem. From a set of candidate shelter locations, the model first determines which of these should act as emergency shelters and then which should be used as long-term shelters, while simultaneously optimizing the allocation of a population to them. Damage caused to evacuation routes is considered in addition to the number of evacuees and shelter capacity. In terms of the model’s emergency and long-term shelter stages, the objectives are to minimize (i) total weighted evacuation time, and (ii) total shelter area used. An interleaved MPSO–GA applied to the model yielded better results than achieved using MPSO or GA in isolation. For a case study with an earthquake affecting the area of Jinzhan within Beijing’s Chaoyang district in China, results generated present government with a range of solution options. Thus, based on government preferences, choices can be made regarding the locations in which to construct shelters and how to allocate the population to them.
abstract_unstemmed	Earthquake disaster management involves determining locations in which to construct shelters and how to allocate the affected population to them. A multi-objective, hierarchical mathematical model, allied with an interleaved modified particle swarm optimization algorithm and genetic algorithm (MPSO–GA), have been developed to solve the earthquake shelter location-allocation problem. From a set of candidate shelter locations, the model first determines which of these should act as emergency shelters and then which should be used as long-term shelters, while simultaneously optimizing the allocation of a population to them. Damage caused to evacuation routes is considered in addition to the number of evacuees and shelter capacity. In terms of the model’s emergency and long-term shelter stages, the objectives are to minimize (i) total weighted evacuation time, and (ii) total shelter area used. An interleaved MPSO–GA applied to the model yielded better results than achieved using MPSO or GA in isolation. For a case study with an earthquake affecting the area of Jinzhan within Beijing’s Chaoyang district in China, results generated present government with a range of solution options. Thus, based on government preferences, choices can be made regarding the locations in which to construct shelters and how to allocate the population to them.
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title_short	A hierarchical mathematical model of the earthquake shelter location-allocation problem solved using an interleaved MPSO–GA
url	https://doi.org/10.1080/19475705.2019.1609605 https://doaj.org/article/9ca42affdb244414ae7f75a9b90a1e3f http://dx.doi.org/10.1080/19475705.2019.1609605 https://doaj.org/toc/1947-5705 https://doaj.org/toc/1947-5713
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A hierarchical mathematical model of the earthquake shelter location-allocation problem solved using an interleaved MPSO–GA

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