A Hybrid Genetic Algorithm-Based Weighted Myriad Filter

YANG Jun; MA Xiao-yan; WAN Shan-hu

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A Hybrid Genetic Algorithm-Based Weighted Myriad Filter

更新时间：2025-07-16

- A Hybrid Genetic Algorithm-Based Weighted Myriad Filter
- Acta Electronica Sinica Vol. 31, Issue 12, Pages: 1807-1810(2003)
- 作者机构：
  
  1. 空军雷达学院信息工程系,湖北,武汉,430019
  2. 空军雷达学院科研部,湖北,武汉,430019
  3. 空军雷达学院信息工程系湖北武汉,430019
  4. 空军雷达学院科研部湖北武汉,430019
- 作者简介：
- 基金信息：
- DOI：
  CLC： TN911.7
- Published：2003
- 稿件说明：
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YANG Jun, MA Xiao-yan, WAN Shan-hu. A Hybrid Genetic Algorithm-Based Weighted Myriad Filter[J]. Acta Electronica Sinica, 2003, 31(12): 1807-1810.
DOI：

YANG Jun, MA Xiao-yan, WAN Shan-hu. A Hybrid Genetic Algorithm-Based Weighted Myriad Filter[J]. Acta Electronica Sinica, 2003, 31(12): 1807-1810. DOI：

摘要

本文提出了一种直接采用浮点操作的混合遗传算法

分析了该算法的特点

并将其用于实现加权Myriad滤波器

即采用混合遗传算法得到加权Myriad滤波器的权值估计及其滤波输出.比较仿真结果表明

由于混合遗传算法的所有染色体均可快速收敛至全局最优点

该方法在任何情况下的处理效果明显优于其它方法.

Abstract

This paper presents a new hybrid genetic algorithm(HGA)using float point operation directly

and analyzes its characteristics

and then we use the algorithm to realize the weighted Myriad filter

getting its weights estimation and output based on the HGA.Since all the chromosomes of the algorithm can quickly converge to the global optimum values

the comparable simulations demonstrate that the filter performance outperforms to others in any case.

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