Aiming at the problem of multi-modal optimization, a multi-modal immune optimization algorithm (MIOA) according to this frame is designed. A simulation experiment is performed and its computational complexity is analyzed.
针对多模态优化问题，按照该框架设计了一个具体的多模态免疫优化算法(MIOA)，并进行了仿真研究和计算复杂性分析。
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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.
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。
In this paper, an optimization algorithm for time-varied functions optimization referring to immune optimization mechanism is presented.
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。
Immune algorithm is an optimization algorithm based on immune system of organism in nature, now it is a new development direction in multi-object of mechanical optimization design.
免疫算法是一种基于自然界生物体免疫系统的优化算法，是目前机械多目标优化设计中的一个新的研究方向。
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