STUDY ON SATELLITE BROADCASTING SCHEDULING BASED ON PARTICLE SWARM OPTIMIZATION ALGORITHM

被引：0
|
作者：
Xia, Kewen [1 ]
Zheng, Fei [1 ]
Chi, Yue [1 ]
Wu, Rui [1 ]
机构：
[1] Hebei Univ Technol, Sch Informat Engn, Tianjin 300401, Peoples R China
来源：
PROCEEDINGS OF 2009 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS TECHNOLOGY AND APPLICATIONS | 2009年
关键词：
Satellite broadcasting; Particle Swarm Optimization algorithm; Genetic algorithm; Simulation analysis;
D O I：
暂无
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
The efficiency of utilizing the satellite communications resource and system can be improved by optimizing the satellite broadcasting scheduling with genetic algorithm. However drawbacks such as complicated genetic operation, tardy convergent speed and the aptness to sink into local minimum within the Genetic Algorithm (GA) have encouraged a satellite broadcasting scheduling approach for resolving the scheduling model. The approach was based on the Particle Swarm Optimization (PSO) algorithm which involved in processes such as constructing the model of satellite broadcasting scheduling, initialization of the particles and particle optimization. It has been shown by simulation analysis that satellite broadcasting scheduling based on the PSO algorithm was feasible and its optimization result was significant.
引用
收藏
页码：962 / 966
页数：5
相关论文
共 50 条
  • [31] Research on cloud computing task scheduling algorithm based on particle swarm optimization
    Wang, Qing
    Fu, Xue-Liang
    Dong, Gai-Fang
    Li, Tao
    JOURNAL OF COMPUTATIONAL METHODS IN SCIENCES AND ENGINEERING, 2019, 19 (02) : 327 - 335
  • [32] Particle swarm optimization-based algorithm for fuzzy parallel machine scheduling
    Behnamian, J.
    INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2014, 75 (5-8): : 883 - 895
  • [33] Particle Swarm Optimization and an Agent-Based Algorithm for a Problem of Staff Scheduling
    Guenther, Maik
    Nissen, Volker
    APPLICATIONS OF EVOLUTIONARY COMPUTATION, PT II, PROCEEDINGS, 2010, 6025 : 451 - 461
  • [34] Dynamic spatial scheduling approach based on improved particle swarm optimization algorithm
    Zhang, Zhi-Ying
    Yang, Ke-Kai
    Yu, Jin-Wei
    Chen, Qiang
    Harbin Gongcheng Daxue Xuebao/Journal of Harbin Engineering University, 2009, 30 (12): : 1344 - 1350
  • [35] Irrigation Canal System Delivery Scheduling Based on a Particle Swarm Optimization Algorithm
    Liu, Ye
    Yang, Ting
    Zhao, Rong-Heng
    Li, Yi-Bo
    Zhao, Wen-Ju
    Ma, Xiao-Yi
    WATER, 2018, 10 (09)
  • [36] Network Scheduling Model of Cloud Computing based on Particle Swarm Optimization Algorithm
    Lu, Ke
    Meng, Junxia
    INTERNATIONAL JOURNAL OF GRID AND DISTRIBUTED COMPUTING, 2015, 8 (04): : 73 - 81
  • [37] Research on parallel machines scheduling problem based on particle swarm optimization algorithm
    Liu, Zhi-Xiong
    Wang, Shao-Mei
    Jisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, CIMS, 2006, 12 (02): : 183 - 187
  • [38] A Particle Swarm Optimization-based Container Scheduling Algorithm of Docker Platform
    Li, Lianwan
    Chen, Jianxin
    Yan, Wuyang
    PROCEEDINGS OF THE 4TH INTERNATIONAL CONFERENCE ON COMMUNICATION AND INFORMATION PROCESSING (ICCIP 2018), 2018, : 12 - 17
  • [39] Study on Chaotic Particle Swarm Optimization Algorithm in solution of logistics scheduling problem
    Chen, Yuqiang
    Peng, Naxin
    ADVANCES IN APPLIED SCIENCE AND INDUSTRIAL TECHNOLOGY, PTS 1 AND 2, 2013, 798-799 : 720 - +
  • [40] Optimization of Multi-core Task Scheduling based on Improved Particle Swarm Optimization Algorithm
    Cheng, Xiaohui
    Chi, Jinqiu
    2019 4TH INTERNATIONAL CONFERENCE ON INTELLIGENT INFORMATION PROCESSING (ICIIP 2019), 2019, : 438 - 444
12345