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- W1763673911 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." @default.
- W1763673911 created "2016-06-24" @default.
- W1763673911 creator A5014674452 @default.
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- W1763673911 date "2015-01-01" @default.
- W1763673911 modified "2023-10-05" @default.
- W1763673911 title "ABCluster: the artificial bee colony algorithm for cluster global optimization" @default.
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- W1763673911 doi "https://doi.org/10.1039/c5cp04060d" @default.
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