摘要
为了有效解决含有不确定现象的复杂优化问题,文中提出了基于正交遗传算法的概率仿真优化方法.该方法将计算机仿真技术、正交遗传算法和概率中的假设检验方法完美地集成在一起,能更加有效地求解复杂优化问题.从理论方面来讲,采用概率方法来研究含有不确定现象的复杂优化问题,具有很强的合理性和可操作性;从实证方面来讲,该方法比传统方法具有更好的优化性能.
In order to solve the complex optimization problem with uncertain phenomenon effectively, this paper presents a probability simulation optimization method based on orthogonal genetic algorithm. This method synthesizes the computer simulation technology, orthogonal genetic algorithm and statistical test method faultlessly, which can solve complex opti- mization problem effectively. In theory, it has a strong rationality and maneuverability that applied probability method to solve the complex optimization problem with uncertain phenomenon. In demonstration, the optimization performance of this method is better than other traditional method.
出处
《微电子学与计算机》
CSCD
北大核心
2009年第10期203-207,共5页
Microelectronics & Computer
关键词
仿真优化
正交遗传算法
假设检验
计算机仿真
simulation optimization
orthogonal genetic algorithm
statistical test
computer simulation
