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Research and Application of Improved Genetic Algorithm in Lanzhou Self-service Terminal Patrol System

  • Jiangwei Bai
  • Yi YangEmail author
  • Lian Li
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 905)

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.

Keywords

Genetic algorithm Path planing Patrol system 

Notes

Acknowledgements

This study is supported by Science and Technology Innovation Project of Foshan City, China (Grant No. 2015IT100095), the Fundamental Research Funds for the Central Universities (Grant No. lzujbky-2016-br03), CERNET Innovation Project (Grant No. NGII20150603) and Science and Technology Planning Project of Guangdong Province, China (Grant No. 2016B010108002).

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.School of Information Science and EngineeringLanzhou UniversityLanzhouChina
  2. 2.Silk Road Economic Belt Research CenterLanzhou UniversityLanzhouChina

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