Patents by Inventor Qite Yang

Qite Yang has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Method and system for train periodic message scheduling based on multi-objective evolutionary algorithm
    Patent number: 11875271
    Abstract: The present invention provides a method and a system for train periodic message scheduling based on a multi-objective evolutionary algorithm, relating to the field of information and communications technology, mainly including: acquiring an MVB periodic message table; binary encoding the MVB periodic message table and initializing it randomly, to generate an iterative population; performing crossover and mutation operations on the individuals of the iterative population using a genetic algorithm, to update the iterative population; constructing an MVB periodic scheduling table that meets scheduling needs and minimizes the macro cycle according to a multi-objective algorithm and the updated iterative population; scheduling train periodic messages according to the MVB periodic scheduling table, thereby meeting the real-time requirement of periodic data transmission in actual scheduling scenarios.
    Type: Grant
    Filed: September 18, 2020
    Date of Patent: January 16, 2024
    Assignee: XIANGTAN UNIVERSITY
    Inventors: Juan Zou, Qite Yang, Tingrui Pei, Jinhua Zheng, Haibo Li, Shengqi Chen, Xiao Yang, Shengxiang Yang
  • METHOD AND SYSTEM FOR TRAIN PERIODIC MESSAGE SCHEDULING BASED ON MULTI-OBJECTIVE EVOLUTIONARY ALGORITHM
    Publication number: 20210089929
    Abstract: The present invention provides a method and a system for train periodic message scheduling based on a multi-objective evolutionary algorithm, relating to the field of information and communications technology, mainly including: acquiring an MVB periodic message table; binary encoding the MVB periodic message table and initializing it randomly, to generate an iterative population; performing crossover and mutation operations on the individuals of the iterative population using a genetic algorithm, to update the iterative population; constructing an MVB periodic scheduling table that meets scheduling needs and minimizes the macro cycle according to a multi-objective algorithm and the updated iterative population; scheduling train periodic messages according to the MVB periodic scheduling table, thereby meeting the real-time requirement of periodic data transmission in actual scheduling scenarios.
    Type: Application
    Filed: September 18, 2020
    Publication date: March 25, 2021
    Applicant: XIANGTAN UNIVERSITY
    Inventors: Juan Zou, Qite Yang, Tingrui Pei, Jinhua Zheng, Haibo Li, Shengqi Chen, Xiao Yang, Shengxiang Yang