Using Genetic Algorithms with a Priori Knowledge for Quantitative NMR Signal Analysis
Wing‐Yiu Choy, B. C. Sanctuary · Journal of Chemical Information and Computer Sciences · 1998
Genetic algorithms (GA) have been successfully applied to solve many optimization problems in science and engineering. In this work, we demonstrate by using a priori knowledge, that GA, are useful in NMR parameter estimation, especially when the signal-to-noise ratio is low. Moreover, different combinations of reproduction, recombination, and mutation schemes can greatly affect the optimization accuracy and efficiency.