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- W3036187655 abstract "The path planning of Multi-AGV does not especially consider the power consumption. Therefore, a new Multi-AGV scheduling planning method based on improved GA(Genetic Algorithm) is proposed. The improvement of this algorithm is showed in three aspects: first, in order to ensure that AGVs have the power to perform the task, the operation of power evaluation is added after each iteration is completed; second, the objective function will have two constraints: first, the minimum total power consumption for all AGV; second, the maximum power consumption of a single AGV is minimal; finally, by changing the mutation operator of the GA, the convergence speed and the convergence of the population are improved. The simulation results show that the improved GA scheduling results are more reasonable, and under the same conditions, AGVs power consumption will be smaller." @default.
- W3036187655 created "2020-06-25" @default.
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- W3036187655 date "2020-05-01" @default.
- W3036187655 modified "2023-09-27" @default.
- W3036187655 title "A Multi-AGV scheduling planning method based on improved GA" @default.
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- W3036187655 doi "https://doi.org/10.1088/1742-6596/1550/2/022014" @default.
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