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] An improved discrete particle swarm optimization algorithm
    Liu, QingFeng
    Lecture Notes in Electrical Engineering, 2013, 219 LNEE (VOL. 4): : 883 - 890
  • [32] Particle swarm optimization algorithm based on teaming behavior
    Yu, Yu-Feng
    Wang, Ziwei
    Chen, Xinjia
    Feng, Qiying
    KNOWLEDGE-BASED SYSTEMS, 2025, 318
  • [33] A Particle Swarm Optimization Algorithm Based on Molecule Diffusion
    Liu, Xiaoxiang
    Jiang, Weigang
    Xie, Jianwen
    2009 INTERNATIONAL CONFERENCE ON INDUSTRIAL MECHATRONICS AND AUTOMATION, 2009, : 125 - 128
  • [34] Particle swarm improvement optimization algorithm and performance study
    Ji, Weidong
    Wang, Keqi
    AUTOMATION EQUIPMENT AND SYSTEMS, PTS 1-4, 2012, 468-471 : 2546 - 2549
  • [35] Particle swarm optimization algorithm based on entropy model
    Sun Q.
    Gao L.
    Liu T.
    Yao J.
    Wang H.
    Dongnan Daxue Xuebao (Ziran Kexue Ban)/Journal of Southeast University (Natural Science Edition), 2019, 49 (06): : 1088 - 1093
  • [36] An improved two-swarm based particle swarm optimization algorithm
    Li, Ting
    Lai, Xuzhi
    Wu, Min
    WCICA 2006: SIXTH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-12, CONFERENCE PROCEEDINGS, 2006, : 3129 - +
  • [37] Vehicle path planning method based on particle swarm optimization algorithm
    Yu, Sheng-long
    Bo, Yu-ming
    Chen, Zhi-min
    Zhu, Kai
    AUTOMATION EQUIPMENT AND SYSTEMS, PTS 1-4, 2012, 468-471 : 2745 - 2748
  • [38] Integration of process planning and scheduling using chaotic particle swarm optimization algorithm
    Petrovic, Milica
    Vukovic, Najdan
    Mitic, Marko
    Miljkovic, Zoran
    EXPERT SYSTEMS WITH APPLICATIONS, 2016, 64 : 569 - 588
  • [39] Particle swarm optimization algorithm with time buffer insertion for robust berth scheduling
    Park, Hyun Ji
    Cho, Sung Won
    Lee, Chulung
    COMPUTERS & INDUSTRIAL ENGINEERING, 2021, 160
  • [40] Research on the improved particle swarm optimization algorithm applying in the reservoir optimal scheduling
    Rui-Peng, Hu, 1600, Bentham Science Publishers B.V., P.O. Box 294, Bussum, 1400 AG, Netherlands (06): : 736 - 740
12345