DocumentCode :
3298016
Title :
Integrate the Hungarian Method and Genetic Algorithm to Solve the Shortest Distance Problem
Author :
Huang, Chin-Jung
Author_Institution :
St. John´´s Univ., Taipei, Taiwan
fYear :
2012
fDate :
July 31 2012-Aug. 2 2012
Firstpage :
496
Lastpage :
499
Abstract :
In Traveling Salesman Problems, there are n! possible routes for a tourist to visit n cities, by only passing through each city once before finally returning to the city of departure. The difficulty of this problem is in finding the shortest from among these n! possible routes quickly and effectively. This research integrates the Hungarian Method and Genetic Algorithm to find the shortest distance route and the distance or the approximately shortest distance route and the distance, and constructs the shortest distance route system for traveling. The system needs only a personal computer to find the shortest distance route and its corresponding distance quickly and effectively.
Keywords :
genetic algorithms; transportation; travelling salesman problems; Hungarian method; genetic algorithm; shortest distance problem; shortest distance route system; traveling salesman problems; Biological cells; Cities and towns; Genetic algorithms; Operations research; Sociology; Statistics; Traveling salesman problems; Genetic Algorithm; Hungarian Method; Shortest Distance; Traveling Salesman problem;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Digital Manufacturing and Automation (ICDMA), 2012 Third International Conference on
Conference_Location :
GuiLin
Print_ISBN :
978-1-4673-2217-1
Type :
conf
DOI :
10.1109/ICDMA.2012.118
Filename :
6298564
Link To Document :
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