Genetic algorithms in chemometrics and chemistry: a review
The use of genetic algorithms has been growing exponentially since Holland published the first papers about them. Thanks to the extraordinary increase in calculation power, nowadays it is possible to apply them to extremely complex problems. A considerable number of papers in which genetic algorithms have been applied have been published in several scientifical journals. This review is of course far from being a complete summary of the application of genetic algorithms to chemical problems; its goal is to show the reader the main fields of application of this technique, together with providing a list of references on the subject. Copyright (C) 2001 John Wiley & Sons, Ltd.
genetic algorithms optimization molecular modelling regression curve fitting