2014SNA + MC 2013 - Joint International Conference on Supercomputing in Nuclear Applications + Monte Carlo
|Number of page(s)||7|
|Section||2. Computational Science: b. Specific Computational Methods and Methodologies|
|Published online||06 June 2014|
A Hybrid Ant Colony Algorithm for Loading Pattern Optimization
EDF R&D/SINETICS, 1 avenue du Général de Gaulle, 92140 Clamart
* Corresponding Author, E-mail: email@example.com
Electricité de France (EDF) operates 58 nuclear power plant (NPP), of the Pressurized Water Reactor (PWR) type. The loading pattern (LP) optimization of these NPP is currently done by EDF expert engineers. Within this framework, EDF R&D has developed automatic optimization tools that assist the experts. The latter can resort, for instance, to a loading pattern optimization software based on ant colony algorithm.
This paper presents an analysis of the search space of a few realistic loading pattern optimization problems. This analysis leads us to introduce a hybrid algorithm based on ant colony and a local search method. We then show that this new algorithm is able to generate loading patterns of good quality.
Key words: loading pattern optimization / fitness landscape analysis / hybrid ant colony algorithm
© Owned by the authors, published by EDP Sciences, 2014