This paper proposes a Dynamic Immune Optimization Algorithm(DIOA) based on biological immune system learning, memory and recognition functions to solve a class of high-dimensional dynamic optimization problem with constraints.
利用人工免疫系统的学习、记忆、识别等功能，提出一种动态免疫优化算法(DIOA)，用于解决一类高维动态约束优化问题。
参考来源 - 动态免疫优化算法及其在背包问题中的应用The analysis on similarities between the structure design and the immune mechanism is implemented at the view of the immune system. A novel immune optimization algorithm is proposed.
从免疫系统的视角分析了RBFNN结构设计与免疫系统机制的相似性,根据免疫系统多样性和免疫响应亲和力成熟的过程,提出一种新型的免疫优化算法。
参考来源 - 基于人工免疫系统的水电机组智能诊断方法研究·2,447,543篇论文数据，部分数据来源于NoteExpress
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.
本文以生物免疫系统为基础，概述免疫优化的仿生机理，重点介绍了克隆选择和免疫网络理论。
Based on biologic immune system, this paper summarizes the bionics mechanism of immune optimization, while clonal selection and immune network theories are discussed detailedly.
首先，对免疫优化进行理论研究，同时结合免疫优化理论，对优化问题、数字图像进行理论分析。
Firstly, I analyze and research the mechanism of algorithm, and combine it with the theory of optimization issues and digital images.
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