J. Mestres et Ge. Scuseria, GENETIC ALGORITHMS - A ROBUST SCHEME FOR GEOMETRY OPTIMIZATIONS AND GLOBAL MINIMUM STRUCTURE PROBLEMS, Journal of computational chemistry, 16(6), 1995, pp. 729-742
A Genetic Algorithm for Geometry Optimizations (GALGO) program has bee
n developed to study the efficiency of this method of finding global m
inimum structures. Using a semiempirical tight-binding potential, the
behavior of different genetic algorithm (GA) operators has been tested
for the linear chain isomer of a C-8 cluster. An optimum set of param
eters for the GA operators is proposed for this problem and afterward
is used to obtain the global minimum structure of rare-gas atomic clus
ters of up to 13 atoms using the 12-6 Lennard-Jones interatomic pair p
otential. (C) 1995 by John Wiley & Sons, Inc.