研究了容量约束下的小区面积，给出了免疫优化算法框架，并与文献算法进行了对比实验。
The cell area subject to cell capacity is expounded, the framework of immune optimization algorithm is given, and simulation experiments are done to validate algorithm.
与其他免疫优化算法的对比仿真结果表明其不但具有较快的收敛速度和较好的稳定性，而且优化效果更为令人满意。
The result of simulation indicates that not only the algorithm has quick constringency speed and better stability, but also the result of optimizing is more satisfactory.
论文借鉴免疫反应机理，提出一种用于求解动态环境下函数优化问题的免疫算法。
In this paper, an optimization algorithm for time-varied functions optimization referring to immune optimization mechanism is presented.
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