Construction method of comprehensive camouflage effectiveness evaluation index based on genetic algorithm

HE Hu; WANG Xia; WEN BIN; LIN Wei; YUAN Tianhao

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Construction method of comprehensive camouflage effectiveness evaluation index based on genetic algorithm

Beijing Institate of Technology 85th Anniversary | 更新时间：2025-09-22

- Construction method of comprehensive camouflage effectiveness evaluation index based on genetic algorithm
- OPTICAL TECHNIQUE Vol. 51, Issue 5, Pages: 521-526(2025)
- 作者机构：
  
  1.中国人民解放军32212部队，北京 100093
  2.北京理工大学光电学院，北京 100081
- 作者简介：
- 基金信息：
- DOI：
  CLC： TP391.9
- Received：04 September 2024，
  
  Revised：2025-05-08，
  
  Published：20 September 2025
- 稿件说明：
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何鹄,王霞,文斌等.基于遗传算法的综合伪装效果评价指标构建方法[J].光学技术,2025,51(05):521-526.

HE Hu,WANG Xia,WEN BIN,et al.Construction method of comprehensive camouflage effectiveness evaluation index based on genetic algorithm[J].OPTICAL TECHNIQUE,2025,51(05):521-526.
何鹄,王霞,文斌等.基于遗传算法的综合伪装效果评价指标构建方法[J].光学技术,2025,51(05):521-526. DOI：

HE Hu,WANG Xia,WEN BIN,et al.Construction method of comprehensive camouflage effectiveness evaluation index based on genetic algorithm[J].OPTICAL TECHNIQUE,2025,51(05):521-526. DOI：

摘要

伪装效果评价体系的设计是确保伪装技术有效性的关键步骤之一。然而当前伪装效果评价体系在指标选取方面存在问题：难以合理分配各指标的权重，且缺乏对不同场景下指标重要性变化的灵活调整能力。针对上述问题，提出了一种基于遗传寻优算法的综合伪装效果评价指标体系，通过建立适应度函数、选择、交叉、变异等操作，构建了一个能够反映不同环境下各指标相对重要性的权重模型。通过该体系，能够更准确地计算伪装效能的评价得分，实现对伪装技术的综合评价。研究有助于提高伪装效果评价体系的准确性和实用性。

Abstract

The design of the camouflage effect evaluation system is one of the key steps to ensure the effectiveness of camouflage technology. However

the current camouflage effect evaluation system has problems in the selection of indicators: it is difficult to reasonably allocate the weight of each index

and it lacks the ability to flexibly adjust the changes in the importance of indicators in different scenarios.To address the aforementioned problems

a comprehensive camouflage effect evaluation index system based on the genetic optimization algorithm is proposed. A weight model capable of reflecting the relative importance of each index in different environments is constructed by establishing the fitness function

as well as implementing selection

crossover

and mutation for camouflage technology. This study is helpful to improve the accuracy and practicability of the camouflage effect evaluation system.

关键词

Keywords

references

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