Study on Simulation and Optimization of the Road Rush-Repair Model after Disaster

Abstract:

In view of the facts that the road network is damaged after disaster, this study made an intensive study of how to make the road repair scheduling in a short time. Based on the actual situation of disaster, and the emergency repairs at the time of uncertainty, established a fuzzy multi-objective mathematical model for road rush-repair scheduling. This model based on VRP, containing time window, take the sum time of the repair work, the time of the work group in transit and the risk of the rush-repair. In the model solution, combined the simulation with optimization methods, take eM-plant as a platform, design a genetic algorithm method which is more suitable in solving scheduling model of the transport emergency supplies, Through a numerical example of empirical analysis, proves the validity of models and algorithms, provided a scientific foundation for the government to make reasonable rush-repair scheduling when the disasters occur.

• Periodical: Applied Mechanics and Materials (Volumes 50-51)
• Pages: 298-303
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.50-51.298
• Online since: February 2011
• Authors: Tie Zhu Zhang, Yong Min Lu
• Keywords: Disaster Relief, EM-Plant, Genetic Algorithm (GA), Road Rush-Repair, Schedule Model

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