English  |  正體中文  |  简体中文  |  Items with full text/Total items : 59061/92564 (64%)
Visitors : 727409      Online Users : 62
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/987654321/50527


    Title: Immune Based Hybrid Evolutionary Algorithm for Pareto Engineering Optimization
    Authors: 史建中;Shih, Chien-jong;Kuan, T. L.
    Contributors: 淡江大學機械與機電工程學系
    Keywords: Evolutionary Algorithm;Immune System;Engineering Optimization;Multi-Objective Optimization;Pareto Front Design
    Date: 2008-12-01
    Issue Date: 2010-08-09 19:20:33 (UTC+8)
    Publisher: 淡江大學
    Abstract: This paper proposes an evolutionary multi-objective optimization algorithm that applies the concept of biological immune system as an alternative algorithm for solving Pareto engineering optimization problems. The optimization algorithm developed and presented in this paper uses the cycle of affinity-maturation principle in the immune system that contains the repeated activation, proliferation and differentiation. The algorithm uses the enhanced expression strategy for handling constraints and the recombination in genetic algorithm to promote the solution performance. The designs of Pareto front can be generated in a single run of simulation by applying normalized function and weighting technique. All computational works completed in this paper uses the real-numbercoded representation for genes evolution that can be efficiently applied to general engineering design optimization problems.
    Relation: 淡江理工學刊 = Tamkang Journal of Science and Engineering 11(4), pp.395-402
    DOI: 10.6180/jase.2008.11.4.09
    Appears in Collections:[Graduate Institute & Department of Mechanical and Electro-Mechanical Engineering] Journal Article

    Files in This Item:

    File SizeFormat
    1560-6686_11(4)p395-402.pdf5783KbAdobe PDF269View/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