多目标优化免疫算法中核心算子抽象

人工免疫系统是受自然免疫原理启发而建立的计算模型,多目标优化问题是当前演化计算的一个重要研究方向。然而,当前的各种免疫优化算法的运行机制和操作过程均不相同。提出一种多目标优化免疫算法的统一表达方法,抽象出免疫算法的3类核心算子的主要原理和运行过程。核心算子可表达经典免疫优化算法NNIA和CMOIA,证明了3类免疫算子表达算法的可行性和高效性。

Abstract of Core Operators of Multi-objective Optimizations Immune Algorithms

Artificial immune system is the computing system based on the theory of natural immune, and the multi-objective optimization is an important researching direction in optimizing field. The study found that all kinds of immune algorithms operational principles and process are not same. This paper presented a method that can unify the expression of the multi-objective optimization immune algorithm,and abstracted the main principle and operational process of three kinds core operators of the immune algorithm. This core operator can express classic immune algorithms NNIA and CMOIA. It is proved that this three immune operators are feasible and efficient to express algorithms.