基于遗传算法的煤分子结构构建

S. Ibayashi, T. Ohkawa, N. Komoda
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引用次数: 1

摘要

阐明了煤分子由芳香类团簇、连接芳香类团簇的桥和末端排列自由基三部分组成。本文提出了一种利用遗传算法(GA)构建分子结构的方法。在这种方法中,染色体以图的形式表示。在交叉操作时,保留其中一个父节点的部分图,其余图中的节点继承另一个父节点的连通性。评价函数是根据化学家“煤分子密度平均均匀”的启发式确定的。用实际煤数据构造的结构进行了实验,结果表明该方法对煤分子结构的估计是有效的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Coal molecular structure construction by genetic algorithm
It has been clarified that the coal molecular consists of the following three components: the aromatic class cluster, the bridge connecting the aromatic class cluster, and the end permutation radical. In this paper, we propose a method of constructing the molecular structure using the genetic algorithm (GA). In this method, the chromosomes are expressed in the form of graphs. At the crossover operation, partial graph of one parent is kept and the nodes in the rest graph inherit connectivity of nodes from the other parent. The evaluation function is determined based on the heuristics of chemists as "the density of the coal molecular is averagely uniform". From the result of experiments carried out with structures constructed from real coal data, it is shown that our method is effective to estimate the coal molecular structure.
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