A two-stage priority-based MOGA for materials allocation and loading problem in large-scale emergencies

Yuanwen Chen

Abstract


Reasonable allocation and reliable delivery of rescue materials are of vital importance in large-scale emergency relief operations. Aiming at lower the average completion time, lower overall risk and higher utilization of transportation resources, this paper sets up a multi-objective model based on the problem of direct distribution of various relief materials from multiple supply points to multiple demand points in the affected areas considering quantity constraints of materials and available vehicles in each supply points, as well as considering capacity and volume constraints of each kinds of vehicles. A two-stage priority based MOGA algorithm has been designed to solve the problem. The experiment shows that this algorithm is fast and reliable, and has high practicability.


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References


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Revista de la Facultad de Ingeniería,

ISSN: 2443-4477; ISSN-L:0798-4065

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