a robust optimization approach to emergency vehicle scheduling

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ID: 231296
2013
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Abstract
The emergency vehicle scheduling problem is studied under the objective function to minimize the total transportation time with uncertain road travel time. Firstly, we build a stochastic programming model considering the constrained chance. Then, we analyze the model based on robust optimization method and get its equivalent set of uncertainty constraint, which has good mathematical properties with consideration of the robustness of solutions. Finally, we implement a numerical example to compare the results of robust optimization method and that of the particle swarm optimization algorithm. The case study shows that the proposed method achieves better performance on computational complexity and stability.
Reference Key
rong2013mathematicala Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;Xiao-Xia Rong;Yi Lu;Rui-Rui Yin;Jiang-Hua Zhang
Journal journal of power sources
Year 2013
DOI
10.1155/2013/848312
URL
http://dx.doi.org/10.1155/2013/848312
Keywords
civil engineering (general)mathematics engineering (general)

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