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- W2372973204 abstract "Taking an open mine in Inner Mongolia as the research object,the randomness of the key time parameters in vehicle scheduling was determined through statistical analysis,and the uncertain model of vehicle scheduling was given.Neural network was trained to approximate function.Because the particle swarm algorithm was likely to fall into local convergence,combining the local search method of the simulated annealing algorithm,a hybrid intelligent algorithm which consisted of the simulated annealing algorithm and the particle swarm optimization was proposed to solve the uncertain model.The results show that the high performance and effectiveness of the proposed method is improved through the computational results." @default.
- W2372973204 created "2016-06-24" @default.
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- W2372973204 date "2011-01-01" @default.
- W2372973204 modified "2023-09-23" @default.
- W2372973204 title "Uncertain scheduling model and optimization of vehicle in open mine" @default.
- W2372973204 hasPublicationYear "2011" @default.
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