DocumentCode
2992222
Title
Optimization Plan of Using the Arrival and Departure Track in District Station Based on Hybrid Algorithm
Author
Tian, Feng ; Wang, Haiyang ; Sun, Xiaoping ; Liu, Jia ; Wang, Chuanyun
Author_Institution
Sch. of Comput. Sci., ShenYang Aerosp. Univ., Shenyang, China
fYear
2011
fDate
3-4 Dec. 2011
Firstpage
1528
Lastpage
1531
Abstract
Reasonably arranging the occupation plan of arrival and departure track is the key of compiling stage plan. In order to arrange arrival and departure track rationally and effectively, building utilization´s mathematical model is needed. The model of the occupation plan of arrival and departure track in this paper is a nonlinear integer programming model, so it is difficult to be solved directly. For this reason, one hybrid algorithm is proposed that is based on the combination of genetic algorithm and ant algorithm. First, hybrid algorithm built chromosome function and fitmess function of utilization of arrival and departure track, and then executed the operation of cross, variation and selection. Second, the hybrid algorithm used the optimal solution offered by genetic algorithm to initialize ant algorithm´s pheromone concentration. An application example shows hybrid algorithm can improves 6% in accuracy of solution, reduces 52% in iteration number compare with genetic algorithm and ant algorithm respectively.
Keywords
functions; genetic algorithms; iterative methods; nonlinear programming; planning; railways; transportation; ant algorithm; arrival track; chromosome function; departure track; district station; fitness function; genetic algorithm; hybrid algorithm; iteration number; mathematical model; nonlinear integer programming model; occupation plan; optimal solution; pheromone concentration; stage plan; Algorithm design and analysis; Analytical models; Encoding; Genetic algorithms; Interference; Mathematical model; Target tracking; Ant Algorithm; District Station; Genetic Algorithm; Hybrid Algorithm; Utilization of Arrival and departure Track;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence and Security (CIS), 2011 Seventh International Conference on
Conference_Location
Hainan
Print_ISBN
978-1-4577-2008-6
Type
conf
DOI
10.1109/CIS.2011.341
Filename
6128382
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