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Finding Stable Conformations of Small molecules using Real Coded Genetic Algorithm

机译:使用实际编码遗传算法发现小分子的稳定构象

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In this paper we have used a real coded genetic algorithm for ' finding the global minimum energy conformation of two small molecules viz. Pseudoethane and 1,2,3-trichloro-l-fluoro-propane based on a potential function. Finding the global minimum of this function is very difficult because it has a large number of local minima, which grows exponentially with molecule size. Computational results are obtained using a real-coded genetic algorithm. The obtained results show a remarkable performance as compared to the earlier published results.
机译:在本文中,我们使用了真正的编码遗传算法来'找到两个小分子viz的全局最小能量构象。基于潜在功能的假乙烷和1,2,3-三氯-1-氟丙烷。找到这个功能的全局最小值是非常困难的,因为它具有大量的局部最小值,其随着分子大小呈指数级增长。使用实际编码的遗传算法获得计算结果。与早期公布的结果相比,所获得的结果表现出显着的性能。

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