A new stochastic method for network recovery planning: improved metaheuristics approach
Publish place: 14th International Industrial Engineering Conference
Publish Year: 1396
Type: Conference paper
Language: English
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Document National Code:
IIEC14_021
Index date: 17 August 2018
A new stochastic method for network recovery planning: improved metaheuristics approach 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.
A new stochastic method for network recovery planning: improved metaheuristics approach Keywords:
Disaster management , Recovery , Survival function , Invasive weed optimization algorithm , Imperialist competitive algorithm
A new stochastic method for network recovery planning: improved metaheuristics approach authors
a amini
Department of Industrial Engineering, Amirkabir University of Technology, ۴۲۴ Hafez Avenue, ۱۵۹۱۶-۳۴۳۱۱, Tehran, Iran
s.m.t Fatemi Ghomi
Department of Industrial Engineering, Amirkabir University of Technology, ۴۲۴ Hafez Avenue, ۱۵۹۱۶-۳۴۳۱۱, Tehran, Iran
f jolai
Department of Industrial Engineering, College of Engineering, University of Tehran, Tehran, Iran