Paper Citing NAMD - Abstract
Styrcz, Anna; Mrozek, Janusz; Mazur, Grzegorz
A NEURAL-NETWORK CONTROLLED DYNAMIC EVOLUTIONARY SCHEME FOR GLOBAL MOLECULAR GEOMETRY OPTIMIZATION
INTERNATIONAL JOURNAL OF APPLIED MATHEMATICS AND COMPUTER SCIENCE, 21:559-566, SEP 2011
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.
