@inproceedings{270a0974a0f34324bfc9d217477d251a,
title = "Application of Genetic Algorithms in nanoscience: Cluster geometry optimization",
abstract = "An account is presented of the design and application of Genetic Algorithms for the geometry optimization (energy minimization) of clusters and nanoparticles, where the interactions between atoms, ions or molecules are described by a variety of potential energy functions (force fields). A detailed description is presented of the Birmingham Cluster Genetic Algorithm Program, developed in our group, and two specific applications are highlighted: the use of a GA to optimize the geometry and atom distribution in mixed Cu-Au clusters; and the use of an energy predator in an attempt to identify the lowest six isomers Of C-40.",
keywords = "POTENTIALS",
author = "RL Johnston and TV Mortimer-Jones and C Roberts and S Darby and FR Manby",
year = "2002",
language = "English",
isbn = "3-540-43432-1",
series = "LECTURE NOTES IN COMPUTER SCIENCE",
publisher = "Springer-Verlag Berlin",
pages = "92--101",
editor = "S Cagnoni and J Gottieb and E Hart and M Middendorf and GR Raidl",
booktitle = "APPLICATIONS OF EVOLUTIONARY COMPUTING, PROCEEDINGS",
note = "EvoWorkshops 2002 Conference ; Conference date: 03-04-2002 Through 04-04-2002",
}