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- W2953814117 abstract "During the 2016–2017 period, Lanzhou government deployed 5000 self-service terminals throughout the city [1]. In order to ensure the normal operation of these devices, a patrol team of about 20 people was organized to check the operating status of the devices and repair the faulty every day. However, due to the wide distribution, and large quantity of devices and the frequent drainage of patrol personnel, the patrol task cannot be completed scientifically and efficiently. Most employees arrange the patrol sequence of devices on rules of thumb so that the efficiency of the patrol work cannot be further improved. In this paper, we made three new improvements to the genetic algorithm, such as using Greedy Ideas to generate initial population, combinating of superior group retains and roulette strategy and superior offspring to stop mutation. And we use the genetic algorithm to design the daily patrol path, ensuring that the patrol work of the devices can be conducted scientifically and efficiently." @default.
- W2953814117 created "2019-07-12" @default.
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- W2953814117 date "2019-04-13" @default.
- W2953814117 modified "2023-09-27" @default.
- W2953814117 title "Research and Application of Improved Genetic Algorithm in Lanzhou Self-service Terminal Patrol System" @default.
- W2953814117 cites W2358432733 @default.
- W2953814117 doi "https://doi.org/10.1007/978-3-030-14680-1_94" @default.
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