论文标题
使用遗传算法在执行边缘检测中进化细胞自动机
Using Genetic Algorithm To Evolve Cellular Automata In Performing Edge Detection
论文作者
论文摘要
细胞自动机是离散的，计算模型，可以显示为复杂性的一般模型。它们用于不同的应用程序中，以得出提出的模型的广义行为。在本文中，我们采用了一个这样的申请。我们已经努力使用遗传算法对图像进行边缘检测。这里的目的和目的是分析建议的遗传算法的能力和性能。遗传算法用于描绘或获得给定问题的一般解决方案。使用GA的此功能，我们试图发展细胞自动机，并表明它如何随着时间的推移收敛到所需的结果。
Cellular automata are discrete and computational models thatcan be shown as general models of complexity. They are used in varied applications to derive the generalized behavior of the presented model. In this paper we have took one such application. We have made an effort to perform edge detection on an image using genetic algorithm. The purpose and the intention here is to analyze the capability and performance of the suggested genetic algorithm. Genetic algorithms are used to depict or obtain a general solution of given problem. Using this feature of GA we have tried to evolve the cellular automata and shown that how with time it converges to the desired results.
