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Improved Multi-swarm PSO Based Maintenance Schedule of Power Communication Network

  • Minchao ZhangEmail author
  • Xingyu Chen
  • Yue Hou
  • Guiping Zhou
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 905)

Abstract

Maintenance schedule is an important and complex task in power communication system. This paper builds a maintenance schedule model that considers decreasing average waiting time of maintenance as well as some constraints. This paper uses Hadoop and MapReduce to handle huge amount of information in power communication network. An improved multi-swarm PSO (Particle Swarm Optimization) algorithm is proposed to schedule maintenance. This algorithm combines the MPSO algorithm with the bacterial chemotaxis. Experiment demonstrates accuracy and efficiency of the improved MPSO algorithm.

Keywords

Power communication network Particle swarm optimization Maintenance schedule Dynamic learning factor Population diversity 

Notes

Acknowledgement

This work is supported by National Key R&D Program of China (2016YFB0901200).

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Minchao Zhang
    • 1
    Email author
  • Xingyu Chen
    • 1
  • Yue Hou
    • 2
  • Guiping Zhou
    • 3
  1. 1.Institute of Network TechnologyBeijing University of Posts and TelecommunicationsBeijingChina
  2. 2.Beijing Guodiantong Network Technical Co. Ltd.BeijingChina
  3. 3.State Grid Liaoning Electric Power Co., Ltd.ShenyangChina

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