Improved Immune Algorithm Research and Its Application

HU Wei; XU Fu-yuan

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Improved Immune Algorithm Research and Its Application

更新时间：2026-09-04

- Improved Immune Algorithm Research and Its Application
- Vol. 28, Issue 12, Pages: 14-16(2011)
- 作者机构：
  
  1. 上海理工大学机构管理学院,上海,200093
  2. 绵阳师范学院机构数学与计算机科学学院,四川,绵阳,621000
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2011
- 稿件说明：
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胡伟, 徐福缘. 一种改进的免疫算法研究及其应用[J]. 微电子学与计算机, 2011, 28(12): 14-16.

HU Wei, XU Fu-yuan. Improved Immune Algorithm Research and Its Application[J]. 2011, 28(12): 14-16.
胡伟, 徐福缘. 一种改进的免疫算法研究及其应用[J]. 微电子学与计算机, 2011, 28(12): 14-16. DOI：

HU Wei, XU Fu-yuan. Improved Immune Algorithm Research and Its Application[J]. 2011, 28(12): 14-16. DOI：

摘要

针对传统免疫算法收敛速度慢、参数设置复杂和亲和度计算存在误差等缺点

采用抗体间探测半径度量抗体浓度的策略

提出一种改进的免疫算法

该算法将抗原和抗体分别对应于解空间和一个解

把分成个簇

每个簇首以为半径的范围内向所有发送消息来感知其周围抗体

其抗体浓度计算方法可以实现实数非均匀变异

可以提高算法的收敛速度和从局部最小中逃逸的能力.

Abstract

In traditional immune algorithm slow convergence speed

parameter setting complex and affinity calculation error existing shortcomings

using antibody detection radius detect antibody concentration strategy

the article puts forward an improved immune algorithm

takes antigen and antibody respectively corresponding to the solution space and a solution

be divided into cluster

each cluster head with a radius of indrawn all messages to perceive its surrounding antibody

the antibody concentration calculation method can achieve real nonsymmetrical mutation and can improve the algorithm convergence speed and has the escaping ability from local minimum.

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