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基于抗原进化的免疫算法 被引量:1

Immune Algorithm Based on Evolution of Antigen
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摘要 基于抗原进化的免疫算法,分析描述问题对应的抗原,产生初始抗体群,计算抗体浓度比率和抗体繁殖率值,获得时间尺度上最佳抗体。以机载雷达多目标跟踪测向数据优化处理为例,其偏差为抗体进化,当满足收敛条件,输出此时数据,再以目标继续运动时刻的信息为抗原,优化搜索目标,实现目标的可靠分辨和有效截获。 The antigen corresponding to problem was analyzed described with immune algorithm based on evolution of antigen, to create initial antibody crowd, and to calculate density ratio and breed rate value of antibody, and to gain the best antibody on time measure. Taking measuring data optimization handling of multi target track for airborne radar as an example, its deviation was evolved for antibody. When satisfied restraint condition, right now data was exported. When target moved again continuously, the information of time was used as antigen to optimize search target, to realize target reliable distinguishing and capturing efficiently.
作者 吕有祥 高迟
出处 《兵工自动化》 2004年第5期61-62,69,共3页 Ordnance Industry Automation
关键词 免疫算法 抗原进化 目标跟踪 初始抗体群 Immune algorithm Evolution of antigen Target tracking
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