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Neural Computing and Applications

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23.11.2016 | Original Article

Multi-objective, multi-period location-routing model to distribute relief after earthquake by considering emergency roadway repair

verfasst von: Behnam Vahdani, D. Veysmoradi, N. Shekari, S. Meysam Mousavi

Erschienen in: Neural Computing and Applications | Ausgabe 3/2018

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Abstract

Natural disasters such as earthquakes impose destructive effects in the form of human injuries and damage to properties each year. Damage caused by the earthquake can disrupt traffic and highway systems, block vehicles and relief operations and make distribution operations difficult. Therefore, the repair of damaged roads in the least possible time so that distribution of relief can be done is a significant natural phenomenon after the disaster. In this study, a new mathematical integer nonlinear multi-objective, multi-period, multi-commodity model is suggested to locate the distribution centers, for timely distribution of vital relief to the damaged areas, vehicles routing and emergency roadway repair operations. It minimizes the travel time and total cost and increases reliability of the routes. To solve the designed problem, two meta-heuristic algorithms, namely non-dominated sorting genetic algorithm-II (NSGAII) and multi-objective particle swarm optimization (MOPSO), are offered. Then, the accuracy of mathematical models and efficiency of algorithms are assessed through numerical examples in detail.

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Titel: Multi-objective, multi-period location-routing model to distribute relief after earthquake by considering emergency roadway repair
verfasst von: Behnam Vahdani
D. Veysmoradi
N. Shekari
S. Meysam Mousavi
Publikationsdatum: 23.11.2016
Verlag: Springer London
Erschienen in: Neural Computing and Applications / Ausgabe 3/2018
Print ISSN: 0941-0643
Elektronische ISSN: 1433-3058
DOI: https://doi.org/10.1007/s00521-016-2696-7

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