Published in: 14th International Industrial Engineering Conference
COI code: IIEC14_021
Paper Language: English
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Authors A new stochastic method for network recovery planning: improved metaheuristics approacha amini - Department of Industrial Engineering, Amirkabir University of Technology, 424 Hafez Avenue, 15916-34311, Tehran, Iran
s.m.t Fatemi Ghomi - Department of Industrial Engineering, Amirkabir University of Technology, 424 Hafez Avenue, 15916-34311, Tehran, Iran
f jolai - Department of Industrial Engineering, College of Engineering, University of Tehran, Tehran, Iran
Abstract:In light of the severe damages of disasters, disaster management are considered by many researchers. Road clearance activities, which seek to improve the post disaster conditions via road debris removal and network restoration, play an important role in disaster management. Studies in the recovery phase and integration between multiple stages of disaster management are scarce; therefore, this paper studies recovery and response phases at the same time by proposing a method for planning the distribution network recovery efforts. In this method both survival and time functions are taken into consideration. Besides, two metaheuristic algorithms are developed to apply it.
Keywords:Disaster management; Recovery; Survival function; Invasive weed optimization algorithm; Imperialist competitive algorithm
COI code: IIEC14_021
how to cite to this paper:If you want to refer to this article in your research, you can easily use the following in the resources and references section:
amini, a; s.m.t Fatemi Ghomi & f jolai, 2017, A new stochastic method for network recovery planning: improved metaheuristics approach, 14th International Industrial Engineering Conference, تهران, انجمن مهندسي صنايع ايران - دانشگاه علم و صنعت ايران, https://www.civilica.com/Paper-IIEC14-IIEC14_021.htmlInside the text, wherever referred to or an achievement of this article is mentioned, after mentioning the article, inside the parental, the following specifications are written.
First Time: (amini, a; s.m.t Fatemi Ghomi & f jolai, 2017)
Second and more: (amini; Fatemi Ghomi & jolai, 2017)
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The University/Research Center Information:
Type: state university
Paper No.: 19662
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