摘要
针对优化设计中,传统的建模方法无法建立复杂系统的精确模型和传统优化算法无法获得满意优化效果的问题,将神经网络(NN)和遗传算法(GA)应用到设计中,构成一种基于NN-GA的优化方法.利用神经网络建立系统的数学模型,用遗传算法对参数进行优化,得出系统的最优值,并经过计算实例验证取得了较好效果.
In the design of optimization, there are some problems that an exact model of a complicated system is built difficultly by a traditional method and a satisfied optimal result cannot be acquired by a traditional optimal algorithm. In this paper, NN and GA are used in the design and an optimization design method based on NN - GA is suggested. NN can be used to build a mathematical model of a system and GA is used to optimize the parameters, then the best parameters are elicited. The method is validated on a calculate example and a good result is obtained.
出处
《哈尔滨理工大学学报》
CAS
2006年第1期105-107,111,共4页
Journal of Harbin University of Science and Technology
基金
黑龙江省研究生创新科研项目(YJSCX2005-246HLJ)
黑龙江省自然科学基金资助项目(F0202)
黑龙江省教育厅科学技术项目(10543009)
