Title :
The express aviation network hub optimization method research based on the genetic algorithm
Author :
Zhang, Ming-Wei ; Guo, Shu-ting ; Li, Ting
Author_Institution :
Sch. of Manage., Renai Coll. of Tianjin Univ., Tianjin, China
Abstract :
As to the location optimization of the express aviation, this paper presents a scientific and effective hub choice evaluation model, focusing on the goal of cost optimization. The result of optimization is automatically employed in the type and quantity selection of the freighters, accordingly a reference evaluation model is established for the express hub optimization, freighters selection and flight path design in the express aviation network. Genetic algorithm is applied in the solution of the model, with code rules and crossover operators being set correspondingly. In the last part, feasibility and effectiveness of this model is verified through a case study on optimization calculation.
Keywords :
aerospace industry; cost reduction; freight handling; genetic algorithms; transportation; code rules; cost optimization; crossover operator; express aviation network hub optimization method research; flight path design; freighter selection; genetic algorithmi; hub choice evaluation model; location optimization; quantity selection; reference evaluation model; Atmospheric modeling; Biological cells; Cities and towns; Genetic algorithms; Optimization; Planning; Transportation; aviation network hub; genetic algorithm; planning and evaluating model;
Conference_Titel :
Industrial Engineering and Engineering Management (IE&EM), 2011 IEEE 18Th International Conference on
Conference_Location :
Changchun
Print_ISBN :
978-1-61284-446-6
DOI :
10.1109/ICIEEM.2011.6035294
