Wang G., 2018, A Study on Optimization of Chemical Logistics Route Based on Improved Genetic Algorithm, Chemical Engineering Transactions, 66, 1435-1440.
In this paper, the author mainly studies the optimization of chemical logistics route based on improved genetic algorithm. The author initially selects relevant populations, assigns individual values to populations and performs certain processing on crossover operators to allow individuals to evolve from generation to generation. Then the author carries out a mutation operation and improves the adaptive probability. The final result of 50 logistics distribution outlets in total is 549.276 and the improvement rate is 2.238%. For a total of 100, the final result is 21280 and the improvement rate is 0.463%. At the same time, the optimal route value obtained by using the GBLSA algorithm simulation is optimal. The GBLSA algorithm has a good performance in search efficiency and performance and can save a lot of costs for chemical logistics.
