考虑基因表达过程的进化算法

生物的进化过程是在其基因层与表型层上同时进行的.表型层上的进化是以环境为参考的自然选择过程,而在基因层上则是一个带随机性的自我更新、自我优化的过程,而且在某种程度上具有自组织趋向.基于这种新的进化观点,本文提出了一种新的进化算法并将其应用于各种函数优化问题中.此算法不但考虑了表型层上的自然选择作用,还考虑了生物在基因层上的进化过程及两个层次间的相互映射关系.仿真结果表明,此算法不论在收敛速度、参数鲁棒性还是全局搜索能力上,都优于传统框架下的进化算法.

An Evolutionary Algorithm Considering Gene Expression

The evolution of organisms takes place both in the genotype and the phenotype.At the phenotype level,the evolution is based on the laws of natural selection,while at the genotype level,it is a stochastic process of self updating and self optimization,and has a tendency of self organizing to some degree.Based on this viewpoint of evolution,this paper proposes a new evolutionary algorithm and applies it to implement optimization.The algorithm considers not only natural selection of the phenotype,but also the evolution of genotype and the mappings between them.It has been demonstrated by simulation results that the algorithm is much better than other evolutionary algorithms based on typical frames in the aspects of convergence speed,robustness and global optimization ability.