在传统遗传算法(GA)基础上,通过引入标准偏差函数构造了新的适应度函数,同时提出了一种自动降温的方法来控制退火选择策略中的温度.将这种改进的实数编码遗传算法(FGA)和单纯型算法(SA)有机结合起来,形成了新的膜系优化算法-实数编码遗传和单纯形混合算法,并编制了优化程序.实例表明该算法优化性能优越,既具有强大全局搜索能力,又能很好地实现局部搜索功能.用该算法实现了中心波长534 nm,带宽35 nm的可见光波段凹陷滤波器和高性能中性分束镜.
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