摘要
对种群竞争消亡算法进行了遗传算子和控制参数对搜索性能影响的研究,并在此基础上提出一种新的模型——两级种群竞争消亡算法:主级GA用于实现目标函数的优化;亚级GA用于实现对主级GA的控制参数和遗传算子的组合优化。对3个经典的优化测试函数的实验结果表明,与种群竞争消亡算法和简单遗传算法相比,两级模型可得到更好的寻优搜索结果。
After the influence research of genetic operators and control parameters to the search performance,this paper propose a new genetic algorithmcalled multi-level species compete-die out model.It is composed of two GAs: the first one is called primary GA and to optimize the object function,whilethe second is named secondary GA and to determine the settings of the primary GA.Compared to species compete-die out GA and simple GA,results ofthree classic test functions showed the two-level model is superior to the other two GAs.
出处
《微型电脑应用》
2011年第9期37-38,46,5,共4页
Microcomputer Applications
