@inproceedings{d5e7a487e2064416a292766595cb6aef,
title = "Computationally efficient algorithm in cluster geometry optimization",
abstract = "A simple adaptive heuristic to optimize the geometries of clusters of charged particles or atoms and find the global minimum energy configurations has been proposed. The approach uses random mutations of one single configuration and accepts moves that decrease the energy. Mutation probability and mutation intensity are allowed to evolve adaptively.",
keywords = "Global optimization, crystal structure, geometry optimization, ionic cluster",
author = "Kanchan Sarkar and Bhattacharyya, {S. P.}",
year = "2013",
month = mar,
day = "15",
doi = "10.1063/1.4790961",
language = "English (US)",
isbn = "9780735411333",
series = "AIP Conference Proceedings",
pages = "162--163",
booktitle = "Solid State Physics - Proceedings of the 57th DAE Solid State Physics Symposium 2012",
note = "57th DAE Solid State Physics Symposium 2012 ; Conference date: 03-12-2012 Through 07-12-2012",
}