... 摘 要: 为克服传统遗传算法退化和早熟等缺点，同时降低优化算法的复杂度，提出基于人工免疫系统（Artificial lnnnune System，AIS）实现无约束多目标函数的优化。
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通过借鉴生物免疫系统中的克隆选择原理和记忆机制，提出了一种基于人工免疫原理的混合聚类算法。
Inspired by the clone selection principle and memory mechanism of the vertebrate immune system, a new hybrid clustering method based on the artificial immune theory is presented.
为了提高人工免疫系统中抗体生成速度，基于免疫系统的混沌特征，提出了混沌否定选择算法。
To increase antibody generating speed in artificial immune system, a chaos negative selection algorithm was presented which is based on the chaotic character of immune system.
人工免疫系统是基于人类和其它高等动物免疫系统原理而提出的一种新的信息处理系统。
Artificial immune system is a novel information processing system inspired by immune system of human and other animals.
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