免疫优势克隆算法

杜海峰; 焦李成; 刘若辰

免疫优势克隆算法

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出版历程
- 收稿日期: 2003-06-08
- 修回日期: 2004-01-12
- 刊出日期: 2004-12-19

Immunodominance Clone Algorithms

摘要

摘要: 借鉴生物免疫学的有关理论，该文阐述了用于人工免疫系统的免疫优势概念，包括抗体免疫优势和抗原免疫优势。进一步地，构造了不同的免疫优势算子，并结合抗体克隆选择机理，提出了一种新的混合人工免疫系统算法一免疫优势克隆算法。0-1背包问题和复杂函数优化问题的仿真试验表明，新算法具有处理类似复杂问题的能力，且性能要优于相应的遗传算法。
- 克隆; 免疫优势; 人工免疫系统; 遗传算法
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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