Multiobjective Optimization Using Ideas from the Clonal Selection Principle
Multiobjective Optimization Using Ideas from the Clonal Selection Principle
复制标题
DOI：
10.1007/3-540-45105-6_22
复制
发表时间：
2003-07
期刊：
影响因子：
--
通讯作者：
N. C. Cortés;C. Coello
中科院分区：
文献类型：
--
作者：
N. C. Cortés;C. Coello
本文提出了一种基于克隆选择原理的多目标优化方法。我们的方法与其他进化多目标优化技术进行了比较，这些技术代表了该领域最先进的技术。在我们的研究中，使用了进化多目标优化中常用的几个测试函数和度量。我们的结果表明，使用人工免疫系统进行多目标优化是一个可行的选择。
In this paper, we propose a new multiobjective optimization approach based on the clonal selection principle. Our approach is compared with respect to other evolutionary multiobjective optimization techniques that are representative of the state-of-the-art in the area. In our study, several test functions and metrics commonly adopted in evolutionary multiobjective optimization are used. Our results indicate that the use of an artificial immune system for multiobjective optimization is a viable alternative.