@article{ref1,
title="Optimization model of fuzzy location-routing problem for searching trapped personnels in flood disaster",
journal="Journal of traffic and transportation engineering (Xi'an, Shaanxi)",
year="2010",
author="Li, Shou-Ying and Ma, Zu-Jun and Zheng, Bin",
volume="10",
number="6",
pages="88-93",
abstract="For ensuring the search-and-rescue effect of trapped personnel in flood disaster, the characteristics of rescue process were analyzed, an optimization model of location-routing problem (LRP) with time windows and fuzzy rescue time was established, and a genetic algorithm was introduced. The algorithm used three-segment real-code and designed matching crossover and mutation operations, and a replacement operation was added in the iterative process to accelerate convergence. A numerical example was given to validate the model and the algorithm. Analysis result shows that the average running time of ten times is 42.95 s when a MATLAB program is designed to realize the algorithm, and the deviations of the worst and the best to the average value are 1.56% and 3.48% respectively. So the algorithm is efficient, convergent and stable, and the model is feasible.<p />",
language="",
issn="1671-1637",
doi="",
url="http://dx.doi.org/"
}