DocumentCode
555652
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
Volume
Part 2
fYear
2011
fDate
3-5 Sept. 2011
Firstpage
860
Lastpage
864
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/ICIEEM.2011.6035294
Filename
6035294
Link To Document