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
  • [1] Blending scheduling based on particle swarm optimization algorithm
    Zhao, Xiaoqiang
    2010 CHINESE CONTROL AND DECISION CONFERENCE, VOLS 1-5, 2010, : 1192 - 1196
  • [2] Blending scheduling based on particle swarm optimization algorithm
    Zhao, XQ
    Rong, G
    PROCEEDINGS OF THE 2004 IEEE INTERNATIONAL CONFERENCE ON INFORMATION REUSE AND INTEGRATION (IRI-2004), 2004, : 618 - 622
  • [3] Satellite navigation satellite selection algorithm based on improved particle swarm optimization
    Wang E.
    Sun C.
    Huang Y.
    Li X.
    Bie Y.
    Qu P.
    Beijing Hangkong Hangtian Daxue Xuebao/Journal of Beijing University of Aeronautics and Astronautics, 2021, 47 (01): : 1 - 6
  • [4] A Novel Membrane Algorithm Based on Particle Swarm Optimization for Solving Broadcasting Problems
    Zhang, Gexiang
    Zhou, Fen
    Huang, Xiaoli
    Cheng, Jixiang
    Gheorghe, Marian
    Ipate, Florentin
    Lefticaru, Raluca
    JOURNAL OF UNIVERSAL COMPUTER SCIENCE, 2012, 18 (13) : 1821 - 1841
  • [5] Supply chain scheduling optimization based on genetic particle swarm optimization algorithm
    Feng Xiong
    Peisong Gong
    P. Jin
    J. F. Fan
    Cluster Computing, 2019, 22 : 14767 - 14775
  • [6] Production scheduling optimization method based on hybrid particle swarm optimization algorithm
    Shang, Jianren
    Tian, Yunnan
    Liu, Yi
    Liu, Runlong
    JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, 2018, 34 (02) : 955 - 964
  • [7] Supply chain scheduling optimization based on genetic particle swarm optimization algorithm
    Xiong, Feng
    Gong, Peisong
    Jin, P.
    Fan, J. F.
    CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS, 2019, 22 (Suppl 6): : 14767 - 14775
  • [8] Cloud Task Scheduling Based on Chaotic Particle Swarm Optimization Algorithm
    Li Yingqiu
    Li Shuhua
    Gao Shoubo
    2016 INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION, BIG DATA & SMART CITY (ICITBS), 2017, : 493 - 496
  • [9] Cloud Task Scheduling Based on Improved Particle Swarm Optimization Algorithm
    Wang, Hui Min
    Li, Ping Ping
    Liu, Chong
    Shen, Jin Yuan
    2022 ASIA CONFERENCE ON ADVANCED ROBOTICS, AUTOMATION, AND CONTROL ENGINEERING (ARACE 2022), 2022, : 24 - 29
  • [10] Satellite data transmission task scheduling based on advanced particle swarm optimization
    Chang, Fei
    Wu, Xiao-Yue
    Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics, 2009, 31 (10): : 2404 - 2408
12345