• DocumentCode
    3039416
  • Title

    Design and implementation of university arrangement system based on the genetic algorithm

  • Author

    Min, Wei ; Yan, Xie ; Yu, Jia

  • Author_Institution
    Key Lab. of Photoelectric Logging & Detecting of Oil & Gas, Xi´´an Shiyou Univ., Xi´´an, China
  • Volume
    3
  • fYear
    2012
  • fDate
    25-27 May 2012
  • Firstpage
    591
  • Lastpage
    594
  • Abstract
    The university curriculum arrangement system, which includes teachers, classrooms, class, curriculum, time and many other factors, is both complex and key link in the universities educational management. The essence of the class arrangement system is that courses, teachers and students in the right time assign in the suitable classroom, which is a multi-objective scheduling, and complicated the combinatorial optimization problem involved many factors. In order to make sure that the course of classes can be arranged in the right time and right place, the university curriculum arrangement system is designed based on the genetic algorithm in this paper. The design scheme is presented in detail. It shows by practice that the genetic algorithm, which is of intelligence of search process, parallelism, and easy operation, could solve the class arrangement system effectively.
  • Keywords
    combinatorial mathematics; educational institutions; genetic algorithms; scheduling; search problems; class arrangement system; combinatorial optimization problem; genetic algorithm; multiobjective scheduling; search process; universities educational management; university arrangement system; university curriculum arrangement system; Biological cells; Educational institutions; Encoding; Genetic algorithms; Genetics; Optimization; Arrangement System; Genetic Algorithm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Automation Engineering (CSAE), 2012 IEEE International Conference on
  • Conference_Location
    Zhangjiajie
  • Print_ISBN
    978-1-4673-0088-9
  • Type

    conf

  • DOI
    10.1109/CSAE.2012.6273022
  • Filename
    6273022