人工免疫算法对遗传算法改进的仿真研究

A Simulation Study of a Genetic Algorithm Improved by Artificial Immune Algorithm

遗传算法是一种很好的优化算法,但其本身存在着易早熟、效率低等不足.人工免疫算法是参考生物免疫系统机制的一种算法,它通常用于对其它算法的改进.论文用人工免疫算法对遗传算法进行改进,在遗传算法中引入浓度机制并从问题中提取疫苗.通过实验对比,它对遗传算法的改进取得了较好的效果.

The Genetic Algorithm is a very good optimized algorithm, but it has some disadvantages such as an inclination to becoming premature and low efficiency. The Artificial Immune Algorithm is an algorithm that comes from the immune mechanism of creatures and is usually used to improve other algorithms. In this paper, an Artificial Immune Algorithm is used to improve the Genetic Algorithm by introducing the concentration mechanism and getting vaccines from problems. Experiment results show that the Genetic Algorithm Improved by Artificial Immune Algorithm works very well.