Skip to main content

Advertisement

Log in

A genetic algorithm for the structural optimization of Morse clusters

  • Regular article
  • Published:
Theoretical Chemistry Accounts Aims and scope Submit manuscript

Abstract.

This article describes the application of a genetic algorithm for the structural optimization of 19–50-atom clusters bound by medium-range and short-range Morse pair potentials. The GA is found to be efficient and reliable for finding the geometries corresponding to the previously published global minima [Doye JPK, Wales DJ (1997) J Chem Soc Faraday Trans 93: 4233]. Using the genetic algorithm, only a relatively small number of energy evaluations and minimizations are required to find the global minima. By contrast, a simple random search algorithm often cannot find the global minima of the larger clusters, even after many thousands of searches.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

Author information

Authors and Affiliations

Authors

Additional information

Received: 27 October 1999 / Accepted: 7 December 1999 / Published online: 19 April 2000

Rights and permissions

Reprints and permissions

About this article

Cite this article

Roberts, C., Johnston, R. & Wilson, N. A genetic algorithm for the structural optimization of Morse clusters. Theor Chem Acc 104, 123–130 (2000). https://doi.org/10.1007/s002140000117

Download citation

  • Issue Date:

  • DOI: https://doi.org/10.1007/s002140000117

Navigation