The Luus-Jaakola algorithm applied to a nuclear reactor core design optimisation Online publication date: Sun, 16-Mar-2008
by Wagner F. Sacco, Hermes Alves Filho, Gustavo Mendes Platt
International Journal of Nuclear Energy Science and Technology (IJNEST), Vol. 4, No. 1, 2008
Abstract: The Luus-Jaakola (LJ) algorithm is a random search optimisation method that has been successfully employed mainly in chemical engineering problems. In this paper, we apply this algorithm to an optimisation problem solved previously with genetic algorithms, particle swarm optimisation and Metropolis algorithms. This problem consists of adjusting several reactor cell parameters, such as dimensions, enrichment and materials, in order to minimise the average peak factor in a three-enrichment-zone reactor, considering restrictions on the average thermal flux, criticality and submoderation. LJ is compared with the aforementioned optimisation algorithms and is shown to perform well, thus demonstrating its potential for other applications.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Nuclear Energy Science and Technology (IJNEST):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email subs@inderscience.com