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Development of a Genetic Algorithm for Optimization of Nanoalloys

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. (Contact us about this Publication)
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: Faculties > Sciences > School of Physical Sciences
Faculties > Social Sciences > Kent Business School > Centre for Logistics and Heuristic Organisation (CLHO)
Depositing User: Said Salhi
Date Deposited: 09 Sep 2008 14:57 UTC
Last Modified: 08 Feb 2020 04:00 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/5238 (The current URI for this page, for reference purposes)
Salhi, Said: https://orcid.org/0000-0002-3384-5240
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