A New Opimization Method on Immunogenetics

LUO Xiao-ping; WEI Wei

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A New Opimization Method on Immunogenetics

更新时间：2025-07-16

- A New Opimization Method on Immunogenetics
- Acta Electronica Sinica Vol. 31, Issue 1, Pages: 45-47(2003)
- 作者机构：
  
  浙江大学电气工程学院,浙江,杭州,310027
- 作者简介：
- 基金信息：
- DOI：
  CLC： TN911
- Published：2003
- 稿件说明：
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LUO Xiao-ping, WEI Wei. A New Opimization Method on Immunogenetics[J]. Acta Electronica Sinica, 2003, 31(1): 45-47.
DOI：

LUO Xiao-ping, WEI Wei. A New Opimization Method on Immunogenetics[J]. Acta Electronica Sinica, 2003, 31(1): 45-47. DOI：

摘要

本文将免疫遗传学的基本思想引入到优化设计中.模拟生物体的实际免疫行为

设计出了融合应答、免疫记忆、基因重组、新陈代谢、浓度控制、隔离小生境技术和混沌思想的实用化的免疫遗传算法.然后利用此算法对多峰值函数的寻优过程进行实验研究

证明了本文的方法能够改善简单遗传算法的优化能力

所得结果令人满意.

Abstract

In this paper

idea on basic immunogenetics is introduced to optimization.By simulating the behavior of biological immune system

we design the immunogenetic algorithm.Experiments have been carried out on the function optimization

the results show that the method can improve the optimization capability of Simple Genetic Algorithm(SGA)successfully and so the satisfaction is proved.

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