烟台大学计算机系
纸质出版:1996
移动端阅览
[1]孟庆春.带有对称编码的基因算法的研究[J].电子学报,1996(10):27-31.
Meng Qingchun. An Approach on Genetic Algorithm with Symmetric Codes[J]. Acta Electronica Sinica, 1996, (10).
针对基因算法的有关研究,本文给出了两种对称编码定义及其运算规则,分析了对称编码的性质;在对称编码的基础上,发展了一种带有对称编码的基因算法。在这一算法中,提出和引入了对称编码、优良成员保护、希望型成员移民和部分基因保留等特殊技术。这一算法理论在被应用于控制系统中取得了与常规基因算法无可比拟的效果,展示了编码问题对基因算法的重要影响。而这一问题从前被人们忽视了[7,8].作为一种通用的问题求解、搜索和优化技术,这一技术也可以被应用于机器学习、神经网络学习和问题求解中
In this study on Genetic Algorithms(GAs)
Symmetric Code theory is developed.We define two kinds of Symmetric Codes
Symmetric Code Strings and their operative rules.Then the propertis of Symmetric Codes are given out. From the Symmetric Code theory
our Genetic Algorithm with Symmetric Codes(GASC) is proposed. In GASC
the following special techniques are used for the first time: Symmetric Codes
Good Members Protection
Hopeful Members Immigration and Partial Genetic Reservation etc. This genetic technigue can be applied to some system control
such as robot system. The simulation on its applications shows that Genetic Algorithm with Symmetric Codes can much overperforms general genetic algorithms and that Coding technique has important influence on genetic algorithms[7
8]. But this problem has been ignored before. Considered as a general-purpose search
optimization technique
GASC can also find its application in the areas of machine learning
neural network learning and problem resolution.
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