Abstract
In view of the deficiency of genetic algorithm in local search ability, a simulated annealing algorithm for optimization of physical distribution routing problem is constructed. Compared with the traditional optimization algorithm, the hybrid genetic algorithm has faster convergence speed, better distribution result and better application value.
Cite
CITATION STYLE
APA
Zhai, R. (2020). Solving the Optimization of Physical Distribution Routing Problem with Hybrid Genetic Algorithm. In Journal of Physics: Conference Series (Vol. 1550). Institute of Physics Publishing. https://doi.org/10.1088/1742-6596/1550/2/022001
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