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- W2380898791 abstract "The logistics distribution path planning is important for improving the efficiency of logistics distribution and saving logistics costs.The optimization of logistics distribution path length is converted to a classic Traveling Salesman Problem(TSP) optimization problem.The mathematical model is established.An improved genetic algorithm is put forward based on the mathematical model.Then,sequence-based selection operator,minimum cost tree-based crossover operator and random length control-based mutation operator are proposed for the selection,crossover and mutation of the genetic algorithm,respectively.The simulation results based on comparison between the improved genetic algorithm and the simple genetic algorithm show that the improved genetic algorithm has better global searching ability,fast convergence.As a result,it is an effective method to solve the logistics distribution path optimization problem." @default.
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- W2380898791 date "2012-01-01" @default.
- W2380898791 modified "2023-09-25" @default.
- W2380898791 title "Path Optimization of Logistics Distribution Based on Improved Genetic Algorithm" @default.
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