English  |  正體中文  |  简体中文  |  Items with full text/Total items : 56557/90363 (63%)
Visitors : 11843681      Online Users : 145
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/987654321/96433

    Title: Immune Based Evolutionary Algorithm with Enhanced Expression Strategy for Pareto Optimization
    Authors: Shih, C. J.;Kuan, T. L.;Deng, C. J.;Wang, Z. Y.
    Contributors: 淡江大學機械與機電工程學系
    Keywords: Evolutionary algorithm;Immune system;Engineering optimization;Multi-objective optimization
    Date: 2005-09
    Issue Date: 2014-03-07 11:39:03 (UTC+8)
    Abstract: This paper introduces a global evolutionary algorithm based on the concept of biological immune system that directly treats constraints for multi-objective engineering optimization problems. The development of optimization algorithm applied the cycle of affinity-maturation principle in the immune system that contains repeated activation, proliferation and differentiation. An enhanced expression strategy is utilized for handling constraints to improve the solution performance. The designs of Pareto front can be generated in a single simulation. All computational works completed in this paper used real-number-coded representation for genes evolution that efficiently applied on general engineering designs.
    Relation: 中華民國第十三屆模糊理論及其應用會議論文集=Proceedings of 2005 the 13th National Conference on Fuzzy Theory and Its Applications,6p.
    Appears in Collections:[Graduate Institute & Department of Mechanical and Electro-Mechanical Engineering] Proceeding

    Files in This Item:

    File SizeFormat
    Immune Based Evolutionary Algorithm with Enhanced Expression Strategy for Pareto Optimization_英文摘要.docx13KbMicrosoft Word88View/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