The TSP is a typical NP problem. The optimization of vehicle routing problem (VRP) and city pipeline optimization can use TSP to solve; therefore it is very important to the optimization for solving TSP problem. The genetic algorithm (GA) is one of ideal methods in solving it. The standard genetic algorithm has some limitations. Improving the selection operator of genetic algorithm, and importing elite retention strategy can ensure the select operation of quality, In mutation operation, using the adaptive algorithm selection can improve the quality of search results and variation, after the chromosome evolved one-way evolution reverse operation is added which can make the offspring inherit gene of parental quality improvement opportunities, and improve the ability of searching the optimal solution algorithm.
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23 May 2018
6TH INTERNATIONAL CONFERENCE ON COMPUTER-AIDED DESIGN, MANUFACTURING, MODELING AND SIMULATION (CDMMS 2018)
14–15 April 2018
Busan, South Korea
Research Article|
May 23 2018
Solving TSP problem with improved genetic algorithm Free
Chunhua Fu;
Chunhua Fu
a)
China Agricultural Means of Production Association
, Beijing, China
Search for other works by this author on:
Lijun Zhang;
Lijun Zhang
b)
China Agricultural Means of Production Association
, Beijing, China
Search for other works by this author on:
Xiaojing Wang;
Xiaojing Wang
c)
China Agricultural Means of Production Association
, Beijing, China
Search for other works by this author on:
Liying Qiao
Liying Qiao
d)
China Agricultural Means of Production Association
, Beijing, China
Search for other works by this author on:
Chunhua Fu
a)
Lijun Zhang
b)
Xiaojing Wang
c)
Liying Qiao
d)
China Agricultural Means of Production Association
, Beijing, China
AIP Conf. Proc. 1967, 040057 (2018)
Citation
Chunhua Fu, Lijun Zhang, Xiaojing Wang, Liying Qiao; Solving TSP problem with improved genetic algorithm. AIP Conf. Proc. 23 May 2018; 1967 (1): 040057. https://doi.org/10.1063/1.5039131
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