Habershon, Scott, Harris, K. D. M. and Johnston, R. L.. (2003) Development of a multipopulation parallel genetic algorithm for structure solution from powder diffraction data. Journal of Computational Chemistry, Vol. 24 (No. 14). p. 1766. ISSN 1096-987X

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Abstract

Previously, the genetic algorithm (GA) approach for direct-space crystal structure solution from powder diffraction data has been applied successfully in the structure determination of a range of organic molecular materials. In this article, we present a further development of our approach, namely a multipopulation parallel GA (PGA), which is shown to give rise to increased speed, efficiency, and reliability of structure solution calculations, as well as providing new opportunities for further optimizing our GA methodology. The multipopulation PGA is based on the independent evolution of different subpopulations, with occasional interaction (e.g., transfer of structures) allowed to occur between the different subpopulations. Different strategies for carrying out this interpopulation communication are considered in this article, and comparisons are made to the conventional single-population GA. The increased power offered by the PGA approach creates the opportunity for structure determination of molecular crystals of increasing complexity. (C) 2003 Wiley Periodicals, Inc.

Item Type:	Journal Article
Divisions:	Faculty of Science > Chemistry
Journal or Publication Title:	Journal of Computational Chemistry
Publisher:	Wiley Periodicals
ISSN:	1096-987X
Date:	November 2003
Volume:	Vol. 24
Number:	No. 14
Page Range:	p. 1766
Identification Number:	10.1002/jcc.10326
Status:	Peer Reviewed
Publication Status:	Published
Access rights to Published version:	Restricted or Subscription Access
URI:	http://wrap.warwick.ac.uk/id/eprint/50639

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