English  |  正體中文  |  简体中文  |  Items with full text/Total items : 55184/89457 (62%)
Visitors : 10665057      Online Users : 21
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library & TKU 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://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/76743


    Title: Application of Hardware Architecture of Genetic Algorithm for Optimal Packet Scheduling
    Authors: Wu, Rong-Hou;Lee, Yang-Han;Sheu, Shiann-Tsong;Tseng, Hsien-Wei
    Contributors: 淡江大學電機工程學系
    Keywords: Genetic algorithm;Dense wavelength;Division multiplexing;Packet scheduling
    Date: 2006-10
    Issue Date: 2012-05-16 16:59:26 (UTC+8)
    Abstract: In Dense Wavelength Division Multiplexing (DWDM) technologies, the optimal packet scheduling is a common encounter issue in multiple channels network. NP-hard problem deals with finding a way to rearrange packets in multiple channels into a finite and rare channel. Genetic algorithm (GA) is one of the most efficient ways to solve this issue. We hope to find a better solution to our task through the GA characteristics of multiprocessor searching and survivor of the fittest. Therefore, a modified and achievable hardware architecture of GA is presented in this paper. This architecture can increase the schedule speed of packet scheduling also can promote the efficiency of DWDM in Optical Communication Networks.
    Relation: Proceedings of 9th Joint Conference on Information Sciences,4頁
    Appears in Collections:[Graduate Institute & Department of Electrical Engineering] Proceeding

    Files in This Item:

    File Description SizeFormat
    Application of Hardware Architecture of Genetic Algorithm for Optimal Packet Scheduling_西文摘要.docx摘要13KbMicrosoft Word123View/Open

    All items in 機構典藏 are protected by copyright, with all rights reserved.


    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library & TKU Library IR teams. Copyright ©   - Feedback