English  |  正體中文  |  简体中文  |  Items with full text/Total items : 49064/83169 (59%)
Visitors : 6956169      Online Users : 71
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/987654321/27393


    Title: A neural network approach to multiobjective and multilevel programming problems
    Authors: 時序時;Shih, Hsu-shih;Wen, Ue-pyng;Lee, S.;Lan, Kuen-ming;Hsiao, Han-chyi
    Contributors: 淡江大學經營決策學系
    Keywords: Neural network;Energy function;Multilevel programming;Multiobjective programming;Dynamic behavior
    Date: 2004-07
    Issue Date: 2009-12-30 15:08:17 (UTC+8)
    Publisher: Elsevier
    Abstract: This study aims at utilizing the dynamic behavior of artificial neural networks (ANNs) to solve multiobjective programming (MOP) and multilevel programming (MLP) problems. The traditional and non-traditional approaches to the MLP are first classified into five categories. Then, based on the approach proposed by Hopfield and Tank [1], the optimization problem is converted into a system of nonlinear differential equations through the use of an energy function and Lagrange multipliers. Finally, the procedure is extended to MOP and MLP problems. To solve the resulting differential equations, a steepest descent search technique is used. This proposed nontraditional algorithm is efficient for solving complex problems, and is especially useful for implementation on a large-scale VLSI, in which the MOP and MLP problems can be solved on a real time basis. To illustrate the approach, several numerical examples are solved and compared.
    Relation: Computers & Mathematics with Applications 48(1-2), pp.95-108
    DOI: 10.1016/j.camwa.2003.12.003
    Appears in Collections:[管理科學學系暨研究所] 期刊論文

    Files in This Item:

    File Description SizeFormat
    0KbUnknown194View/Open
    index.html0KbHTML23View/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