摘要
系统仿真技术近几十年得到了很快地发展,已广泛运用于许多领域。但是目前的系统仿真对于数学模型的目标寻优缺乏有效的方法。遗传算法是一种有效的优化技术并能全局寻优。本文着重探讨系统仿真的新技术之一:遗传算法来解决目标寻优问题。
System simulation has been developed very fast in recent twenty years and is widely applied in many areas. But existing systems lacks and effective method for function optimization. Genetic algorithm is aneffective technique for global optimization. This paper discusses one of new techniques in system simulation: genetic algorithm which can be used to deal with the function optimization.
出处
《计算机仿真》
CSCD
1996年第2期49-52,共4页
Computer Simulation
基金
国家自然科学基金
关键词
系统仿真
目标寻优
遗传算法
System simulation
Function optimization
Genetic algorithm