基 于 遗 传 算 法 的 综 合 伪 装 效 果 评 价 指 标 构 建 方 法

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.