Abstract
In this paper, we present a Meta genetic algorithm (GA) optimization approach to tune the parameters of the multi niche crowding (MNC) GA, previously used to successfully describe the potential energy surface of different molecular systems at the semi empirical level of theory. The optimization is performed using a second layer of the same algorithm for a set of molecules of different sizes. Several sets of parameters were found that lead to a high performance of the algorithm in terms of the number of the minima found. The variation of the parameters for each molecule is discussed. A relationship between the changes of parameters as a function of the number of degrees of freedom of the molecule has been established.
Published Version
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