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中文摘要：
免疫起源于抗感染的研究，是一种机体识别和排斥抗原性异物的生理功能。现代仿生技术将免疫应用到解决非线性优化问题中，形成了独特的人工免疫系统（AIS），AIS用抗体代表问题的可行解，用抗原代表问题的约束条件和目标函数，采用期望繁殖率来定义父体选择的概率进行随机搜索全局最优解。将AIS应用到梯级水库群短期（日）优化调度的研究中，经过对某梯级水库群的仿真计算，认为其结果是合理和可实际应用的。
英文摘要：
Immunity, a basic physiology, is derived from the research of anti-infection, whose organism recognizes antigenicity eyewinkers and rejects them. Modern bionic technologies use immunity to solve nonlinear programming problems and form particular artificial immune system （AIS） which represents feasible solutions through antibodies and embodies constrains and objective function through antigen. AIS also adopts anticipant productive rate to define selection probabilities which can be used for random search of the whole optimal solution. According to the application of AIS to the short-term optimal scheduling of hydro plants in cascade, the AIS is confirmed.
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