计算机工程与应用 ›› 2007, Vol. 43 ›› Issue (1): 27-27.

• 学术探讨 • 上一篇    下一篇

动态环境下的免疫优化

徐雪松,彭春华   

  1. 华东交通大学电气与电子工程学院
  • 收稿日期:2006-01-04 修回日期:1900-01-01 出版日期:2007-01-01 发布日期:2007-01-01
  • 通讯作者: 徐雪松 cedarxu cedarxu

Immune Algorithm for Optimization under Changed Environments

xuesong xu,   

  1. 华东交通大学电气与电子工程学院
  • Received:2006-01-04 Revised:1900-01-01 Online:2007-01-01 Published:2007-01-01
  • Contact: xuesong xu

摘要: 生物免疫系统面对复杂的外部环境能够产生相应抗体,快速消除对肌体的威胁,在变化的环境中体现出强大的优化能力和自适应能力。本文借鉴免疫反应机理,提出一种用于求解动态环境下函数优化问题的免疫算法。仿真结果表明该算法全局搜索能力强、优化速度快、能够较好地处理动态环境中的优化问题。

关键词: 免疫算法, 动态环境, 函数优化

Abstract: The immune systems have ability of finding antibodies to remove antigens under complex changed environments. These systems show strong optimization ability and adaptability. In this paper, an optimization algorithm for time-varied functions optimization referring to immune optimization mechanism is presented. Simulation results show that the algorithm has good performance on function optimization under complex changed environments.

Key words: Immune Algorithm, Changed Environments, Function Optimization