MYRRHA Core Loading Pattern Optimization using Metaheuristics

Research output: Contribution to report/book/conference proceedingsIn-proceedings paper

Authors

Institutes & Expert groups

Documents & links

Abstract

The paper presents recent achievements accomplished in the development of the MYRRHA core management tool, namely implementation of Ant Colony Optimization as an optimization algorithm for solving loading pattern optimization problem. The algorithm is tested on a simple illustrative constrained MYRRHA in-core fuel management problem and the results are compared with those obtained by using Genetic Algorithm. Different forms of objective function penalization were used as a constraint handling technique.

Details

Original languageEnglish
Title of host publicationProceedings of the 16th International Conference on Emerging Nuclear Energy Systems (ICENES)
Place of PublicationSpain
Publication statusPublished - May 2013
EventICENES 2013 - 16th International Conference on Emerging Nuclear Energy Systems - Madrid, Spain
Duration: 26 May 201330 May 2013

Conference

ConferenceICENES 2013 - 16th International Conference on Emerging Nuclear Energy Systems
CountrySpain
CityMadrid
Period2013-05-262013-05-30

Keywords

  • in-core fuel management optimization, loading pattern optimization, genetic algorithm, ant colony optimization, MYRRHA

ID: 311091