Zhang, Jun and Dolg, Michael ORCID: 0000-0002-0538-0837 (2015). ABCluster: the artificial bee colony algorithm for cluster global optimization. Phys. Chem. Chem. Phys., 17 (37). S. 24173 - 24182. CAMBRIDGE: ROYAL SOC CHEMISTRY. ISSN 1463-9084

Full text not available from this repository.

Abstract

Global optimization of cluster geometries is of fundamental importance in chemistry and an interesting problem in applied mathematics. In this work, we introduce a relatively new swarm intelligence algorithm, i.e. the artificial bee colony (ABC) algorithm proposed in 2005, to this field. It is inspired by the foraging behavior of a bee colony, and only three parameters are needed to control it. We applied it to several potential functions of quite different nature, i.e., the Coulomb-Born-Mayer, Lennard-Jones, Morse, Z and Gupta potentials. The benchmarks reveal that for long-ranged potentials the ABC algorithm is very efficient in locating the global minimum, while for short-ranged ones it is sometimes trapped into a local minimum funnel on a potential energy surface of large clusters. We have released an efficient, user-friendly, and free program ABCluster'' to realize the ABC algorithm. It is a black-box program for non-experts as well as experts and might become a useful tool for chemists to study clusters.

Item Type: Journal Article
Creators:
CreatorsEmailORCIDORCID Put Code
Zhang, JunUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Dolg, MichaelUNSPECIFIEDorcid.org/0000-0002-0538-0837UNSPECIFIED
URN: urn:nbn:de:hbz:38-415943
DOI: 10.1039/c5cp04060d
Journal or Publication Title: Phys. Chem. Chem. Phys.
Volume: 17
Number: 37
Page Range: S. 24173 - 24182
Date: 2015
Publisher: ROYAL SOC CHEMISTRY
Place of Publication: CAMBRIDGE
ISSN: 1463-9084
Language: English
Faculty: Faculty of Mathematics and Natural Sciences
Divisions: Faculty of Mathematics and Natural Sciences > Department of Chemistry > Institute of Theoretical Chemistry
Subjects: no entry
Uncontrolled Keywords:
KeywordsLanguage
LENNARD-JONES CLUSTERS; ELECTRONIC-STRUCTURE; GENETIC ALGORITHM; ATOMIC CLUSTERS; RELAXATION; POTENTIALS; EFFICIENT; EVOLUTION; GEOMETRY; ACCURATEMultiple languages
Chemistry, Physical; Physics, Atomic, Molecular & ChemicalMultiple languages
Refereed: Yes
URI: http://kups.ub.uni-koeln.de/id/eprint/41594

Downloads

Downloads per month over past year

Altmetric

Export

Actions (login required)

View Item View Item