A heuristic-based multi-choice goal programming for the stochastic sustainable-resilient routing-allocation problem in relief logistics

Natural or man-made disasters impose destructive effects like human injuries and urban infrastructure damages, which lead to disruptions that affect the entire distribution system. This research addresses the routing-allocation problem in the response phase of disaster management. The related litera...

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Veröffentlicht in:	Neural computing & applications 2021-11, Vol.33 (21), p.14283-14309
Hauptverfasser:	Mamashli, Zakie, Bozorgi-Amiri, Ali, Dadashpour, Iman, Nayeri, Sina, Heydari, Jafar
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Artificial Intelligence Computational Biology/Bioinformatics Computational Science and Engineering Computer Science Data Mining and Knowledge Discovery Disaster management Disaster relief Disasters Emergency preparedness Evacuations & rescues Forest & brush fires Goal programming Heuristic Heuristic methods Humanitarianism Image Processing and Computer Vision Industrial engineering Logistics Man made disasters Mathematical programming Optimization Original Article Parameter sensitivity Probability and Statistics in Computer Science Resilience Robustness (mathematics) Supply chains Sustainability Sustainable development Travel time
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