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基于危险理论的动态约束免疫优化

, PP. 37-44

Keywords: 危险理论,免疫优化,环境检测,协同进化

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Abstract:

基于危险理论,探讨求解动态约束单目标函数优化的免疫算法。设计的关键在于依据抗原呈递细胞(APC)被感染或凋亡细胞识别的机理,研究监测环境变化和确定环境等级的环境检测模块,以及探寻以自反应群、效应群和环境记忆群为载体的协同进化方案。该算法具有结构简单灵活、寻优时间可动态调节的优点,可实时监测环境变化。比较性的数值实验结果显示,算法在执行效率、效果之间能达到合理权衡且具有明显优越性,对动态约束优化具有较好应用潜力。

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