ICONE15-10518 FUEL LOADING PATTERN OPTIMIZATION BASED ON CASE-BASED REASONING (CBR)
Masafumi Adachi, Akio Yamamoto, Yoshihiro Yamane, Yasunori Kitamura · The Proceedings of the International Conference on Nuclear Engineering (ICONE) · 2007
Human beings solve problems according to their experiences. Case-based reasoning (CBR) is a problem solving method which simulates the process of problem solving of human beings. CBR is applied various problems in engineering field. However, CBR has not been applied to the LP optimization problem so far. In this study, CBR is applied to LP optimizations and its performance is compared with Simulated Annealing (SA) and Tabu search (TS). From the results, it is demonstrated that CBR optimizes a LP faster than SA and TS. The performance of a LP that is obtained by CBR is slightly worse than that of SA and TS, but the difference of performance of LP among CBR, SA and TS is small. This indicates that CBR is a very effective method for fast and reasonable LP optimization.