DocumentCode
2118887
Title
The Research about Balanced Route MTSP Based on Hybrid Algorithm
Author
Hong-li, Xu ; Cheng-ming, Zhang
Author_Institution
Inf. Inst., Shandong Agric. Univ., Taian
fYear
2009
fDate
27-28 Feb. 2009
Firstpage
533
Lastpage
536
Abstract
MTSP included two categories: the first, distributed visit cities (points) number to every salesman, the distribution required balanced cities number. Second distributed MTSP walking distance to every salesman, it required balanced path length. For the MTSP which balance route, designed the hybrid algorithm, it based on genetic algorithms and 2-opt algorithm. The coding method, algorithm steps and the MTSP object function is given. Coefficient k in objective function is given, which adjust the ratio of proportionality and route. In order to split MTSP into single TSP, bring up virtual point concept, and set them. In order to minimize the total journey length, salesman always chooses point near center point, the corresponding sample and experiment results are given.
Keywords
encoding; genetic algorithms; graph theory; travelling salesman problems; 2-opt algorithm; coding method; genetic algorithms; graph theory; hybrid algorithm; multiple traveling salesman problem; Algorithm design and analysis; Cities and towns; Electronic mail; Genetic algorithms; Genetic mutations; Legged locomotion; Polynomials; Software algorithms; Traveling salesman problems; Virtual manufacturing; MTSP; balanced MTSP; hybrid algorithm; virtual settings;
fLanguage
English
Publisher
ieee
Conference_Titel
Communication Software and Networks, 2009. ICCSN '09. International Conference on
Conference_Location
Macau
Print_ISBN
978-0-7695-3522-7
Type
conf
DOI
10.1109/ICCSN.2009.115
Filename
5076908
Link To Document