Study on Student Ticket Distribution Model and its Particle Swarm Optimization Algorithm

Qing Wang, Leizhen Wang, Suxin Wang, Li Zhao, Xuelei Cheng, Xuemei Chen
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引用次数: 4

Abstract

Through analyzing the characteristics of student tickets reservation, and under the condition of controlling the student tickets reservation information, a mathematic model of student ticket distribution model (STDM) is established. Particle swarm optimization (PSO) is established to solve STDM. In PSO, particle position matrix is set up, matrix's every column corresponds to a student, and matrix has two rows, the first row corresponds to train, and its elements are random train number that student will like to choose, second row correspond to date, and its elements are random date that student will like to choose. When students have the same train number and date pair, we can get train's students loads in one date. Through calculation example, this paper expounds the actual effect of the model.
学生票分配模型及其粒子群优化算法研究
通过分析学生票预订的特点,在控制学生票预订信息的条件下,建立了学生票分配模型的数学模型。建立了求解STDM的粒子群算法。在粒子群算法中,建立粒子位置矩阵,矩阵的每一列对应一个学生,矩阵有两行,第一行对应列车,它的元素是学生想要选择的随机车次,第二行对应日期,它的元素是学生想要选择的随机日期。当学生拥有相同的车号和日期对时,我们可以在一个日期内获得列车的学生负载。通过算例,阐述了该模型的实际效果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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