期刊
INTERNATIONAL JOURNAL OF APPLIED MATHEMATICS AND COMPUTER SCIENCE
卷 21, 期 3, 页码 559-566出版社
SCIENDO
DOI: 10.2478/v10006-011-0044-8
关键词
global optimization; memetic algorithm; molecular geometry
A novel, neural network controlled, dynamic evolutionary algorithm is proposed for the purposes of molecular geometry optimization. The approach is tested for selected model molecules and some molecular systems of importance in biochemistry. The new algorithm is shown to compare favorably with the standard, statically parametrized memetic algorithm.
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