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- W2356060830 abstract "In view of the high-risk and low efficiency of semi-trailer in vehicle transport,the paper proposes the method of transporting the vehicle using flat cars.In railway transportation,how to improve the utilization rate of railway flatcars under military and safe requirements is the key of the loading problem of multiple-type flatcars.It develops the mathematical models and proposes an adaptive hybrid genetic algorithm method combining the improved adaptive genetic algorithm,simulative annealing algorithm and best fit decreasing algorithm.It then analyzes the genetic algorithm coding,fitness function,design of genetic operator and the algorithm which adaptively determined the probabilities of crossover and mutation.Through simulation experiments,the fitness and loading order of the equipment curve are obtained.Compare with the hybrid genetic algorithm,the computing process is proved to be fast and accurate." @default.
- W2356060830 created "2016-06-24" @default.
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- W2356060830 date "2012-01-01" @default.
- W2356060830 modified "2023-09-22" @default.
- W2356060830 title "Flat Car Loading Research Based on Simulated Annealing Hybrid Genetic Algorithm" @default.
- W2356060830 hasPublicationYear "2012" @default.
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