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Pregled bibliografske jedinice broj: 1012797

Three models for resilient network design and a genetic algorithm to approach them


Sedlar, Jelena; Milat, Martina
Three models for resilient network design and a genetic algorithm to approach them // Proceedings of the 2nd Croatian Combinatorial Days / Došlić, Tomislav ; Martinjak, Ivica (ur.).
Zagreb: Faculty of Civil Engineering University of Zagreb, 2019. str. 123-141 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)


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Naslov
Three models for resilient network design and a genetic algorithm to approach them

Autori
Sedlar, Jelena ; Milat, Martina

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Proceedings of the 2nd Croatian Combinatorial Days / Došlić, Tomislav ; Martinjak, Ivica - Zagreb : Faculty of Civil Engineering University of Zagreb, 2019, 123-141

ISBN
978-953-8168-33-8

Skup
2nd Croatian Combinatorial Days

Mjesto i datum
Zagreb, Hrvatska, 27.09.2018. - 28.09.2018

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
flow networks ; design ; resilience ; genetic algorithm

Sažetak
This paper examines the types of directed networks with one source and onesink. The problem of resilient network design is studied with respect to suchnetworks. The upper and the lower bound of the capacity are given for eachedge in the network, while the cost of each edge is given as the function of edgecapacity. Said problem of network design consists of selecting a subset of edgesin the given network, which induces an optimal subnetwork to be resilient afterdisruptive event. The restoration behaviour of each edge in a networkNafterthe disruptive event is described by using a non-linear function that enables themodelling of three components affecting resilience: the remaining capacity ofthe edge after the disruption, the degree to which capability can be recoveredand the recovery speed. Three different models for designing a resilient net-work are proposed and then formulated as problems of non-linear optimisation.A simple genetic algorithm using stochastic ranking, which can be used to ap-proach all three proposed network design problems, is proposed. One numericalexample is used to illustrate the proposed procedure and the effectiveness ofthe proposed algorithm.

Izvorni jezik
Engleski

Znanstvena područja
Matematika, Građevinarstvo



POVEZANOST RADA


Ustanove:
Fakultet građevinarstva, arhitekture i geodezije, Split

Profili:

Avatar Url Jelena Sedlar (autor)

Avatar Url Martina Milat (autor)


Citiraj ovu publikaciju:

Sedlar, Jelena; Milat, Martina
Three models for resilient network design and a genetic algorithm to approach them // Proceedings of the 2nd Croatian Combinatorial Days / Došlić, Tomislav ; Martinjak, Ivica (ur.).
Zagreb: Faculty of Civil Engineering University of Zagreb, 2019. str. 123-141 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
Sedlar, J. & Milat, M. (2019) Three models for resilient network design and a genetic algorithm to approach them. U: Došlić, T. & Martinjak, I. (ur.)Proceedings of the 2nd Croatian Combinatorial Days.
@article{article, author = {Sedlar, Jelena and Milat, Martina}, year = {2019}, pages = {123-141}, keywords = {flow networks, design, resilience, genetic algorithm}, isbn = {978-953-8168-33-8}, title = {Three models for resilient network design and a genetic algorithm to approach them}, keyword = {flow networks, design, resilience, genetic algorithm}, publisher = {Faculty of Civil Engineering University of Zagreb}, publisherplace = {Zagreb, Hrvatska} }
@article{article, author = {Sedlar, Jelena and Milat, Martina}, year = {2019}, pages = {123-141}, keywords = {flow networks, design, resilience, genetic algorithm}, isbn = {978-953-8168-33-8}, title = {Three models for resilient network design and a genetic algorithm to approach them}, keyword = {flow networks, design, resilience, genetic algorithm}, publisher = {Faculty of Civil Engineering University of Zagreb}, publisherplace = {Zagreb, Hrvatska} }




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