免疫遗传算法及在优化问题中的应用综述

Immune genetic algorithm and applications in optimization

指出遗传算法的不足,将免疫学原理引入遗传算法,进而形成免疫遗传算法。针对免疫遗传算法在优化问题中的研究现状,从编码技术、先验知识、操作算子、混沌理论引入、多种群方式、与小生境理论结合等方面进行了总结,指出了不足之处,最后探讨了免疫遗传算法需要进一步研究的问题和发展方向。

The article pointed out the inadequacies of genetic algorithm,and proposed immune genetic algorithm by introducting immunology theory to genetic algorithm.To the present research situation in optimized problem of immune genetic algorithm,it made a conclusion in aspects of coding technique,apriori knowledge,operator,introduction of chaos theory,method of multi-population and the combination with Niche theory,and pointed out the inadequacies.Finally,proposed the problems to be further studied and the trends of developments in this field.