Using GA for Locating Post-disaster Field Hospitals: The Case of Istanbul

Yesim Komurcu; Seda Yanik

doi:10.1007/978-3-030-51156-2_170

Using GA for Locating Post-disaster Field Hospitals: The Case of Istanbul

Yesim Komurcu
, Seda Yanik^*

^*Bu çalışma için yazışmadan sorumlu yazar

Endüstri Mühendisliği Bölümü

Halic University

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › bilirkişi

Özet

Most of the post-disaster losses occur due to the lack of humanitarian relief planning or inadequate implementations. Locating temporary field hospitals (FHs) and assignment of the injured people to the hospitals are key issues in natural disaster management. The capacities of existing emergency units of hospitals (EH) are expected to be not enough for the injured people in case of a serious earthquake in Istanbul. Thus, the FHs which will serve as additional capacity are needed. The objectives of this study are to minimize the total travel cost and the total cost of establishing FHs in order to respond to all of the injured as quickly as possible. To this aim, a heuristic solution methodology, genetic algorithm (GA) is developed in MATLAB. Different crossover and replacement strategies have been tested in order to improve the performance of the algorithm. In the experimental study, the performances of different GAs strategies are compared using experimental datasets where optimal results are known. According to the result of the comparison, the best GA is selected and applied the for the real Istanbul dataset.

Orijinal dil	İngilizce
Ana bilgisayar yayını başlığı	Intelligent and Fuzzy Techniques
Ana bilgisayar yayını alt yazısı	Smart and Innovative Solutions - Proceedings of the INFUS 2020 Conference
Editörler	Cengiz Kahraman, Sezi Cevik Onar, Basar Oztaysi, Irem Ucal Sari, Selcuk Cebi, A. Cagri Tolga
Yayınlayan	Springer
Sayfalar	1464-1472
Sayfa sayısı	9
ISBN (Basılı)	9783030511555
DOI'lar	https://doi.org/10.1007/978-3-030-51156-2_170
Yayın durumu	Yayınlandı - 2021
Etkinlik	International Conference on Intelligent and Fuzzy Systems, INFUS 2020 - Istanbul, Türkiye Süre: 21 Tem 2020 → 23 Tem 2020

Yayın serisi

Adı	Advances in Intelligent Systems and Computing
Hacim	1197 AISC
ISSN (Basılı)	2194-5357
ISSN (Elektronik)	2194-5365

???event.eventtypes.event.conference???

???event.eventtypes.event.conference???	International Conference on Intelligent and Fuzzy Systems, INFUS 2020
Ülke/Bölge	Türkiye
Şehir	Istanbul
Periyot	21/07/20 → 23/07/20

Bibliyografik not

Publisher Copyright:
© 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG.

BM SKH

Bu sonuç, aşağıdaki Sürdürülebilir Kalkınma Hedefine/Hedeflerine katkıda bulunur

SKH 11 Sürdürülebilir Şehirler ve Topluluklar

Belgeye Erişim

10.1007/978-3-030-51156-2_170

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

Komurcu, Y., & Yanik, S. (2021). Using GA for Locating Post-disaster Field Hospitals: The Case of Istanbul. In C. Kahraman, S. Cevik Onar, B. Oztaysi, I. U. Sari, S. Cebi, & A. C. Tolga (Eds.), Intelligent and Fuzzy Techniques: Smart and Innovative Solutions - Proceedings of the INFUS 2020 Conference (pp. 1464-1472). (Advances in Intelligent Systems and Computing; Hac. 1197 AISC). Springer. https://doi.org/10.1007/978-3-030-51156-2_170

Komurcu, Yesim ; Yanik, Seda. / Using GA for Locating Post-disaster Field Hospitals : The Case of Istanbul. Intelligent and Fuzzy Techniques: Smart and Innovative Solutions - Proceedings of the INFUS 2020 Conference. editör / Cengiz Kahraman ; Sezi Cevik Onar ; Basar Oztaysi ; Irem Ucal Sari ; Selcuk Cebi ; A. Cagri Tolga. Springer, 2021. pp. 1464-1472 (Advances in Intelligent Systems and Computing).

@inproceedings{8a6cf14dd99942e187ef8105d332663a,

title = "Using GA for Locating Post-disaster Field Hospitals: The Case of Istanbul",

abstract = "Most of the post-disaster losses occur due to the lack of humanitarian relief planning or inadequate implementations. Locating temporary field hospitals (FHs) and assignment of the injured people to the hospitals are key issues in natural disaster management. The capacities of existing emergency units of hospitals (EH) are expected to be not enough for the injured people in case of a serious earthquake in Istanbul. Thus, the FHs which will serve as additional capacity are needed. The objectives of this study are to minimize the total travel cost and the total cost of establishing FHs in order to respond to all of the injured as quickly as possible. To this aim, a heuristic solution methodology, genetic algorithm (GA) is developed in MATLAB. Different crossover and replacement strategies have been tested in order to improve the performance of the algorithm. In the experimental study, the performances of different GAs strategies are compared using experimental datasets where optimal results are known. According to the result of the comparison, the best GA is selected and applied the for the real Istanbul dataset.",

keywords = "Genetic algorithm, Humanitarian relief, Location-allocation",

author = "Yesim Komurcu and Seda Yanik",

note = "Publisher Copyright: {\textcopyright} 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG.; International Conference on Intelligent and Fuzzy Systems, INFUS 2020 ; Conference date: 21-07-2020 Through 23-07-2020",

year = "2021",

doi = "10.1007/978-3-030-51156-2\_170",

language = "English",

isbn = "9783030511555",

series = "Advances in Intelligent Systems and Computing",

publisher = "Springer",

pages = "1464--1472",

editor = "Cengiz Kahraman and \{Cevik Onar\}, Sezi and Basar Oztaysi and Sari, \{Irem Ucal\} and Selcuk Cebi and Tolga, \{A. Cagri\}",

booktitle = "Intelligent and Fuzzy Techniques",

address = "Germany",

}

Komurcu, Y & Yanik, S 2021, Using GA for Locating Post-disaster Field Hospitals: The Case of Istanbul. in C Kahraman, S Cevik Onar, B Oztaysi, IU Sari, S Cebi & AC Tolga (eds), Intelligent and Fuzzy Techniques: Smart and Innovative Solutions - Proceedings of the INFUS 2020 Conference. Advances in Intelligent Systems and Computing, hac. 1197 AISC, Springer, pp. 1464-1472, International Conference on Intelligent and Fuzzy Systems, INFUS 2020, Istanbul, Türkiye, 21/07/20. https://doi.org/10.1007/978-3-030-51156-2_170

Using GA for Locating Post-disaster Field Hospitals: The Case of Istanbul. / Komurcu, Yesim; Yanik, Seda.
Intelligent and Fuzzy Techniques: Smart and Innovative Solutions - Proceedings of the INFUS 2020 Conference. ed. / Cengiz Kahraman; Sezi Cevik Onar; Basar Oztaysi; Irem Ucal Sari; Selcuk Cebi; A. Cagri Tolga. Springer, 2021. p. 1464-1472 (Advances in Intelligent Systems and Computing; Hac. 1197 AISC).

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › bilirkişi

TY - GEN

T1 - Using GA for Locating Post-disaster Field Hospitals

T2 - International Conference on Intelligent and Fuzzy Systems, INFUS 2020

AU - Komurcu, Yesim

AU - Yanik, Seda

PY - 2021

Y1 - 2021

N2 - Most of the post-disaster losses occur due to the lack of humanitarian relief planning or inadequate implementations. Locating temporary field hospitals (FHs) and assignment of the injured people to the hospitals are key issues in natural disaster management. The capacities of existing emergency units of hospitals (EH) are expected to be not enough for the injured people in case of a serious earthquake in Istanbul. Thus, the FHs which will serve as additional capacity are needed. The objectives of this study are to minimize the total travel cost and the total cost of establishing FHs in order to respond to all of the injured as quickly as possible. To this aim, a heuristic solution methodology, genetic algorithm (GA) is developed in MATLAB. Different crossover and replacement strategies have been tested in order to improve the performance of the algorithm. In the experimental study, the performances of different GAs strategies are compared using experimental datasets where optimal results are known. According to the result of the comparison, the best GA is selected and applied the for the real Istanbul dataset.

AB - Most of the post-disaster losses occur due to the lack of humanitarian relief planning or inadequate implementations. Locating temporary field hospitals (FHs) and assignment of the injured people to the hospitals are key issues in natural disaster management. The capacities of existing emergency units of hospitals (EH) are expected to be not enough for the injured people in case of a serious earthquake in Istanbul. Thus, the FHs which will serve as additional capacity are needed. The objectives of this study are to minimize the total travel cost and the total cost of establishing FHs in order to respond to all of the injured as quickly as possible. To this aim, a heuristic solution methodology, genetic algorithm (GA) is developed in MATLAB. Different crossover and replacement strategies have been tested in order to improve the performance of the algorithm. In the experimental study, the performances of different GAs strategies are compared using experimental datasets where optimal results are known. According to the result of the comparison, the best GA is selected and applied the for the real Istanbul dataset.

KW - Genetic algorithm

KW - Humanitarian relief

KW - Location-allocation

UR - https://www.scopus.com/pages/publications/85088750755

U2 - 10.1007/978-3-030-51156-2_170

DO - 10.1007/978-3-030-51156-2_170

M3 - Conference contribution

AN - SCOPUS:85088750755

SN - 9783030511555

T3 - Advances in Intelligent Systems and Computing

SP - 1464

EP - 1472

BT - Intelligent and Fuzzy Techniques

A2 - Kahraman, Cengiz

A2 - Cevik Onar, Sezi

A2 - Oztaysi, Basar

A2 - Sari, Irem Ucal

A2 - Cebi, Selcuk

A2 - Tolga, A. Cagri

PB - Springer

Y2 - 21 July 2020 through 23 July 2020

ER -

Komurcu Y, Yanik S. Using GA for Locating Post-disaster Field Hospitals: The Case of Istanbul. In Kahraman C, Cevik Onar S, Oztaysi B, Sari IU, Cebi S, Tolga AC, editörler, Intelligent and Fuzzy Techniques: Smart and Innovative Solutions - Proceedings of the INFUS 2020 Conference. Springer. 2021. p. 1464-1472. (Advances in Intelligent Systems and Computing). doi: 10.1007/978-3-030-51156-2_170

Using GA for Locating Post-disaster Field Hospitals: The Case of Istanbul

Özet

Yayın serisi

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Bibliyografik not

BM SKH

Belgeye Erişim

Diğer Dosyalar ve Linkler

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