Immune Based Hybrid Evolutionary Algorithm for Pareto Engineering Optimization | |
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學年 | 97 |
學期 | 1 |
出版(發表)日期 | 2008-12-01 |
作品名稱 | Immune Based Hybrid Evolutionary Algorithm for Pareto Engineering Optimization |
作品名稱(其他語言) | |
著者 | 史建中; Shih, Chien-jong; Kuan, T. L. |
單位 | 淡江大學機械與機電工程學系 |
出版者 | 淡江大學 |
著錄名稱、卷期、頁數 | 淡江理工學刊 = Tamkang Journal of Science and Engineering 11(4), pp.395-402 |
摘要 | 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. |
關鍵字 | Evolutionary Algorithm;Immune System;Engineering Optimization;Multi-Objective Optimization;Pareto Front Design |
語言 | en |
ISSN | 1560-6686 |
期刊性質 | 國內 |
收錄於 | |
產學合作 | |
通訊作者 | |
審稿制度 | 否 |
國別 | TWN |
公開徵稿 | |
出版型式 | ,電子版 |
相關連結 |
機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/50527 ) |