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: |
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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: |
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Refereed: | Yes | ||||||||||||
URI: | http://kups.ub.uni-koeln.de/id/eprint/41594 |
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