CAJ | 학술논문

作为对生物进化的模拟,遗传算法的表述方法和用语与生物进化的基本相同.这种表述方法虽然形象,但往往容易掩盖遗传算法的数学本质,为进一步研究带来困难.试图揭示遗传算法的数学本质,建立它的代数表述形式,并为其应用提供一种更简明易读的模型.
작위대생물진화적모의,유전산법적표술방법화용어여생물진화적기본상동.저충표술방법수연형상,단왕왕용역엄개유전산법적수학본질,위진일보연구대래곤난.시도게시유전산법적수학본질,건립타적대수표술형식,병위기응용제공일충경간명역독적모형.
As a simulation of biological evolution, the expression and nomenclature used for Genetic Algorithms are similar to those used for biological evolution. This expression is very visual, but often covers up Genetic Algorithm's mathematical essence and makes it difficult to do further research. In this paper, we try to open out the mathematical essence of Simple Genetic Algorithms and develop a new algebraic expression in order to provide a more concise and readable model for the application of Genetic Algorithm.