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An Approach to Derive Parametric L-System Using Genetic Algorithm

机译:遗传算法推导参数L系统的一种方法

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In computer graphics, L-System is widely used to model artificial plants structures and fractals. The Genetic Algorithm (GA) is the most popular form of Evolutionary Algorithms. This paper examines a method for automatic plant modeling which is based on an integration of GA and Parametric L-System using appropriate fitness function. The approach is specifically based on the implementation of two layered GA to derive the rewriting rules of Parametric L-System. The higher level of GA deals with the evolution of symbols and lower level deals with the evolution of numerical parameters. Initial results derived from the approach are very promising, which shows that complicated branching structures can be easily derived by the multilayered architecture of GA.
机译:在计算机图形学中,L-System被广泛用于模拟人造植物的结构和分形。遗传算法(GA)是进化算法的最流行形式。本文研究了一种基于遗传算法和参数L系统(使用适当的适应度函数)的集成的植物自动建模方法。该方法特别基于两层GA的实现,以导出参数L系统的重写规则。 GA的较高级别涉及符号的演变,而较低级别则涉及数值参数的演变。从该方法得出的初步结果是非常有希望的,这表明复杂的分支结构可以通过GA的多层体系结构轻松得出。

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