GENETIC ALGORITHMS - A ROBUST SCHEME FOR GEOMETRY OPTIMIZATIONS AND GLOBAL MINIMUM STRUCTURE PROBLEMS

Citation
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
Citations number
50
Categorie Soggetti
Chemistry
ISSN journal
01928651
Volume
16
Issue
6
Year of publication
1995
Pages
729 - 742
Database
ISI
SICI code
0192-8651(1995)16:6<729:GA-ARS>2.0.ZU;2-M
Abstract
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.