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- W3089282642 abstract "When we solving the scheduling problem of stacker, the commonly used Genetic Algorithm (GA) requires a large initial population size and the convergence speed is slow when the number of iterations is high. A better solution can be found, and it is easy to fall into the local part. The ICRO algorithm proposed in this paper not only has a good global optimization, but also has a stronger ability to jump out of the local optimum, it can improve the convergence speed of the algorithm, so it can effectively improve the scheduling optimization of inbound and outbound for double-stackers." @default.
- W3089282642 created "2020-10-01" @default.
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- W3089282642 date "2020-07-01" @default.
- W3089282642 modified "2023-09-26" @default.
- W3089282642 title "Research on Scheduling Optimization of Inbound and Outbound for Double-Stackers" @default.
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- W3089282642 doi "https://doi.org/10.1109/icpics50287.2020.9202329" @default.
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