基因表达式演化建模  

Evolutionary Modeling by Gene Expression

作　　者：胡能发[1] 

机构地区：[1]韩山师范学院信息工程部,广东潮州521041

出　　处：《西南师范大学学报（自然科学版）》2013年第7期31-36,共6页Journal of Southwest China Normal University(Natural Science Edition)

基　　金：广东省科技计划项目(2008B080701018)

摘　　要：为了有效地建立动态系统的演化模型,将常微分方程的解的模型按基因表达式编码,给出了动态系统建模在遗传算法求解中的编码规则.算法采用精英选择,在主要遗传算子中,结合四阶龙格—库塔迭代公式对个体进行评估,按基因表达式程序设计进行演化,算法在求解过程中不需要过多地依赖于问题本身的知识,从而极大地降低了问题的复杂性.数值实验表明,算法具有很强的普适性.In order to effectively establish the evolution model for dynamic systems, the model of ordinary differential equations is coded by gene expression, and the encoding rules are given for dynamic system modeling in the genetic algorithm. The algorithm uses elitist selection, and individual assessment is carried out in the main genetic operators, combined with the fourth-order Runge-Kutta iteration formula. The ge- netic expression programming evolutionary algorithm in the process of solving a problem does not have to rely heavily on the knowledge of the problem itself, thereby greatly reducing its complexity. A numerical experiment indicates that the algorithm has very strong universality.

关 键 词：基因表达式 遗传算法 动态系统 编码 模型 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]