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关于Genetic算法的研究及应用现状
引用本文:孟庆春,贾培发.关于Genetic算法的研究及应用现状[J].清华大学学报(自然科学版),1995(5).
作者姓名:孟庆春  贾培发
作者单位:烟台大学计算机系,清华大学计算机科学与技术系
摘    要:基因算法是目前国内外十分热门的研究课题。本文讲述了基因算法(GAS)的原理、发展过程及研究现状;介绍了国外有关基因算法的最新研究成果,如在机器人动力学优化控制和问题求解方面的应用。同时指出了基因算法的弱点,并讲述了人们为扩大这种算法的应用范围和克服其弱点而做的多方面的努力。


Actual research status and recent applications of genetic algorithms
Meng Qingchun,Jia Peifa.Actual research status and recent applications of genetic algorithms[J].Journal of Tsinghua University(Science and Technology),1995(5).
Authors:Meng Qingchun  Jia Peifa
Abstract:enetic algorithms (GAs) are actually a very attractive research field in the world. This paper presents the principle, the development process and the present research situation of genetic algorithms, shows the strong points,the weak points and the development tendency of genetic algorithms. A simple example is given to show how to use genetic algorithms to solve problems. The latest research achievements on GAs are also introduced, such as their applications to robot dynamic optimal control and to problem solution. At the end of this paper, some projects of GAs to be studied are pointed out to help readers to catch new research projects.
Keywords:genetic algorithms  symmetric code  population  members  
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