A Particle Swarm Optimization and Branch and Bound Based Algorithm For Economical Smart Home Scheduling

被引：0
|
作者：
Wang, Yangyizhou [1 ,2 ]
Hao, Cong [1 ]
Yoshimura, Takeshi [1 ]
机构：
[1] Waseda Univ, Grad Sch IPS, Hibikino 2-7, Kitakyushu, Fukuoka 8080135, Japan
[2] Shanghai Jiao Tong Univ, 800 Dongchuan Rd, Shanghai 200240, Peoples R China
来源：
2017 IEEE 60TH INTERNATIONAL MIDWEST SYMPOSIUM ON CIRCUITS AND SYSTEMS (MWSCAS) | 2017年
关键词：
Smart Home Scheduling; Particle Swarm Optimization; Branch and Bound;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Smart home scheduling, as one of the most effective techniques in Demand Side Management (DSM), is now attracting more and more research interests in the recent years. In this paper we propose an efficient scheduling algorithm for smart home resident to reduce the monetary cost of the electricity. The proposed algorithm is an improved particle swarm optimization(PSO) algorithm that can schedule the smart appliances under discrete power level and quadratic pricing model. Branch and bound method is adopted to map real number values to discrete power level values. Simulation results shows that our method exceeds the previous methods both in total monetary cost and execution time.
引用
下载
收藏
页码：213 / 216
页数：4
相关论文
共 50 条
  • [41] An improved particle swarm optimization algorithm for flowshop scheduling problem
    Zhang, Changsheng
    Sun, Jigui
    Zhu, Xingiun
    Yang, Qingyun
    INFORMATION PROCESSING LETTERS, 2008, 108 (04) : 204 - 209
  • [42] An improved particle swarm optimization algorithm for flowshop scheduling problem
    Li, Bo
    Zhang, Changsheng
    Bai, Ge
    Zhang, Erliang
    2008 INTERNATIONAL CONFERENCE ON INFORMATION AND AUTOMATION, VOLS 1-4, 2008, : 1226 - +
  • [43] A scheduling algorithm of particle swarm optimization with segmental pheromone heuristics
    Wei Yingzi
    Hao Pingbo
    Zhou Yue
    Wang Hong
    PROCEEDINGS OF THE 31ST CHINESE CONTROL CONFERENCE, 2012, : 2543 - 2547
  • [44] A particle swarm optimization algorithm for batch processing workflow scheduling
    Wen, Yiping
    Chen, Zhigang
    Chen, Tiemin
    Liu, Jianxun
    Kang, Guosheng
    SECOND INTERNATIONAL CONFERENCE ON CLOUD AND GREEN COMPUTING / SECOND INTERNATIONAL CONFERENCE ON SOCIAL COMPUTING AND ITS APPLICATIONS (CGC/SCA 2012), 2012, : 645 - 649
  • [45] An asynchronous parallel Particle Swarm Optimization algorithm for a scheduling problem
    Hernane S.
    Hernane Y.
    Benyettou M.
    Journal of Applied Sciences, 2010, 10 (08) : 664 - 669
  • [46] An Improved Particle Swarm Optimization Algorithm for Care Worker Scheduling
    Akjiratikarl, Chananes
    Yenradee, Pisal
    Drake, Paul R.
    INDUSTRIAL ENGINEERING AND MANAGEMENT SYSTEMS, 2008, 7 (02): : 171 - 181
  • [47] A Chaotic Particle Swarm Optimization Algorithm for the Jobshop Scheduling Problem
    Yan Ping
    Jiao Minghai
    2014 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC), 2014, : 218 - 222
  • [48] Chaotic particle swarm optimization algorithm based on the essence of particle swarm
    Lin, Chuan
    Feng, Quanyuan
    Xinan Jiaotong Daxue Xuebao/Journal of Southwest Jiaotong University, 2007, 42 (06): : 665 - 669
  • [49] Hybrid particle swarm optimization algorithm for flexible task scheduling
    Zhu, Liyi
    Wu, Jinghua
    THIRD INTERNATIONAL CONFERENCE ON GENETIC AND EVOLUTIONARY COMPUTING, 2009, : 603 - 606
  • [50] Hybridization of immune with particle swarm optimization in task scheduling on smart devices
    Jeevanantham Balusamy
    Manivannan Karunakaran
    Distributed and Parallel Databases, 2022, 40 : 85 - 107
12345