摘要
提出一种改进遗传算法．它是以实数编码，采用自适应Pc、Pm与固定的Pc、Pm相结合，引入生物进化编程（EP）思想，利用不同形式的评判函数，完成遗传操作．实验表明，该改进遗传算法具有快速、有效的特点，提高了GA的优化能力．
This paper presents a kind of modified Genetic Algorithm(GA), which adopts real number encoding and integrates with Evolutionary Programming (EP). The crossover and mutation operators are fixed and adjusted in the process of optimization. Tests show that the modified algorithm has improved GA's optimization ability to be faster and more efficient.
出处
《天津理工学院学报》
1998年第4期62-64,73,共4页
Journal of Tianjin Institute of Technology
关键词
遗传算法
进化编程
非线性系统
适应度评判
genetic algorithm (GA) evolutionary programming(EP) adaptive optimization nonlinear system
