Academic Journal of Computing & Information Science, 2019, 2(1); doi: 10.25236/AJCIS.010030.
JI XueJing, YONG Xu
Northeastern University, information and computing science, 1501,Shenyang, Liaoning, 110004 China
This paper considers genetic algorithm to process logistics path optimization. Genetic algorithms are significant in location issues, distribution issues, scheduling issues, transportation issues, and layout issues. A genetic algorithm for solving this problem is constructed base on the mathematical model of logistics distribution path optimization problem. The calculation results show that using genetic algorithm to optimize the logistics distribution path can easily and effectively obtain the optimal solution or approximate optimal solution.
Genetic algorithm; Data mining; Logistics path optimization; Binary code
JI XueJing, YONG Xu, Application of Genetic Algorithm in Logistics Path Optimization. Academic Journal of Computing & Information Science (2019) Vol. 2: 155-161. https://doi.org/10.25236/AJCIS.010030.
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