Salhi, Said and Lloyd, Lesley D. and Johnston, Roy L. (2004) Development of a Genetic Algorithm for Optimization of Nanoalloys. In: Genetic and Evolutionary Computation – GECCO 2004 Genetic and Evolutionary Computation Conference. Lecture Notes in Computer Science, 2 . Springer, Berlin, Germany, pp. 1136-1137. ISBN 978-3-540-22343-6. E-ISBN 978-3-540-24855-2. (doi:10.1007/978-3-540-24855-2_144) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:5238)
| The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided. | |
| Official URL: http://dx.doi.org/10.1007/978-3-540-24855-2_144 |
Abstract
A genetic algorithm has been developed in order to find the global minimum of platinum-palladium nanoalloy clusters. The effect of biasing the initial population and predating specific clusters has been investigated.
| Item Type: | Book section |
|---|---|
| DOI/Identification number: | 10.1007/978-3-540-24855-2_144 |
| Uncontrolled keywords: | Genetic algorithms ; Parallel processing (Electronic computers) ; Genetic computation ; Evolutionary computation |
| Subjects: | Q Science > QD Chemistry |
| Divisions: |
Divisions > Division of Natural Sciences > Physics and Astronomy Divisions > Kent Business School - Division > Department of Analytics, Operations and Systems |
| Depositing User: | Said Salhi |
| Date Deposited: | 09 Sep 2008 14:57 UTC |
| Last Modified: | 05 Nov 2024 09:37 UTC |
| Resource URI: | https://kar.kent.ac.uk/id/eprint/5238 (The current URI for this page, for reference purposes) |
University of Kent Author Information
Salhi, Said.
| Creator's ORCID: |
 https://orcid.org/0000-0002-3384-5240
|
|---|---|
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