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免疫優(yōu)勢克隆算法

杜海峰,  焦李成,  劉若辰

杜海峰, 焦李成, 劉若辰. 免疫優(yōu)勢克隆算法[J]. 電子與信息學報, 2004, 26(12): 1918-1924.
引用本文: 杜海峰, 焦李成, 劉若辰. 免疫優(yōu)勢克隆算法[J]. 電子與信息學報, 2004, 26(12): 1918-1924.
Du Hai-feng, Jiao Li-cheng, Liu Ruo-chen. Immunodominance Clone Algorithms[J]. Journal of Electronics & Information Technology, 2004, 26(12): 1918-1924.
Citation: Du Hai-feng, Jiao Li-cheng, Liu Ruo-chen. Immunodominance Clone Algorithms[J]. Journal of Electronics & Information Technology, 2004, 26(12): 1918-1924.

免疫優(yōu)勢克隆算法

Immunodominance Clone Algorithms

  • 摘要: 借鑒生物免疫學的有關(guān)理論，該文闡述了用于人工免疫系統(tǒng)的免疫優(yōu)勢概念，包括抗體免疫優(yōu)勢和抗原免疫優(yōu)勢。進一步地，構(gòu)造了不同的免疫優(yōu)勢算子，并結(jié)合抗體克隆選擇機理，提出了一種新的混合人工免疫系統(tǒng)算法一免疫優(yōu)勢克隆算法。0-1背包問題和復(fù)雜函數(shù)優(yōu)化問題的仿真試驗表明，新算法具有處理類似復(fù)雜問題的能力，且性能要優(yōu)于相應(yīng)的遺傳算法。
    Abstract: Inspired by the biology immune system, the concept of Immunodominance in immunology is introduced to Artificial Immune System (AIS) in this paper. In AIS, the concept includes two parts, antibody-immunodominance and antigen- immunodominance. Based on the clonal selection theory, a new hybrid AIS algorithm, namely IrnmunoDominance Clone Algorithm (IDCA), with antibody-immunodominance is put forward. Compared with gene algorithms, IDCA is shown to be an evolutionary strategy capable of solving complox machine learning tasks, like 0-1 knapsack problem.
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  • Dasgupta D, Forrest S. Artificial immune systems in industrial applications[C][J].Proceedings of the Second International Conference on Intelligent Processing and Manufacturing of Materials (IPMM 99), Honolulu.1999, 1:257-267[2]丁永生,任立紅.人工免疫系統(tǒng):理論與應(yīng)用[J].模式識別與人工智能,2000,13(1):52-59.[3]Gasper A, Collard P. From GAs to artificial immune systems: improving adaptation in time dependent optimization[A]. Proceedings of the Congress on Evolutionary Computation (CEC 99)[C], Washington: IEEE press, 1999: 1859-1866.[4]De Castro L N, Von Zuben F J. The clonal selection algorithm with engineering applications[C].Proc. of GECCO00, Workshop on Artificial Immune Systems and Their Applications, Nevada,2000: 36-37.[5]Kim J, Bentley P J. Towards an artificial immune system for network intrusion detection: an investigation of clonal selection with a negative selection operator[C]. Proceedings of the 2001 Congress on Evolutionary Computation, Seoul, 2001, 2: 1244-1252.[6]Du Haifeng.[J].Jiao Licheng, Wang Sunan. Clonal operator and antibody clone algorithms. Proceedings of the First International Conference on Machine Learning and Cybernetics, Beijing, 4-5November.2002,:-[7]周光炎.免疫學原理(Principles of Immunology)[M].上海:上?？茖W技術(shù)文獻出版社,2000:4-5.[8]Silvano M, David P, Paolo T. New trends in exact algorithms for the 0-1 knapsack problem[J].European Journal of Operational Research, 2000, 13(2): 325-332.[9]Georg S. Mp-testdata. http:∥elib.zib.de/pub/Packages/mp-testdata/ip/sac94-suite/index.html[10]Hoff A, Lokketangen A, Mittet I. Genetic Algorithms for 0/1 Multidimensional Knapsack Problems. Working Paper, Molde College Britveien Molde, Norway, 1996.
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出版歷程
  • 收稿日期:  2003-06-08
  • 修回日期:  2004-01-12
  • 刊出日期:  2004-12-19

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