English  |  正體中文  |  简体中文  |  Items with full text/Total items : 25344/25939 (98%)
Visitors : 5838545      Online Users : 126
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
  • Adv. Search
    HomeLoginUploadHelpAboutAdminister Goto mobile version


    Please use this identifier to cite or link to this item: http://ir.lib.ksu.edu.tw/handle/987654321/5700


    Title: A Novel Particle Swarm Optimization for Course Scheduling with Multiple Constraints
    Authors: Der-Fang Shiau
    Shih-Tang Lo (羅仕堂)
    Pi-Chung Hsu
    Keywords: Course scheduling
    Particle swarm optimization
    Local search
    Optimal satisfaction
    Date: 2009-09-25
    Issue Date: 2009-11-20 00:08:54 (UTC+8)
    Abstract: A novel meta-heuristic algorithm that is based on the principles of particle swarm optimization (PSO) is proposed for course scheduling problem. In the original PSO algorithm, particles search solutions in a continuous solution space. Since the solution space of the course scheduling problem is discrete, this study incorporates a local search method into the proposed PSO in order to explore a better solution improvement. The simulation results demonstrate that the proposed PSO in this study can significantly reduce the amount of computation required for course scheduling, and yields an optimal satisfaction of course scheduling for instructors and class scheduling arrangements.
    Relation: Der-Fang Shiau, Shih-Tang Lo, Pi-Chung Hsu, A Novel Particle Swarm Optimization for Course Scheduling with Multiple Constraints, The 2nd International Conference on Advanced Computer Science and Engineering (ICACTE 2009), Pages. 1723-1732, September 25 -27,2009
    Appears in Collections:[資訊管理系所] 會議論文

    Files in This Item:

    File Description SizeFormat
    A Novel Particle Swarm Optimization for Course Scheduling with Multiple Constraints.pdf149KbAdobe PDF88View/Open


    All items in KSUIR are protected by copyright, with all rights reserved.


    本網站之所有圖文內容授權為崑山科技大學圖書資訊館所有,請勿任意轉載或擷取使用。
    ©Kun Shan University Library and Information Center
    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - Feedback