PARALLEL COMPUTING ADAPTIVE SIMULATED ANNEALING SCHEME FOR FUEL ASSEMBLY LOADING PATTERN OPTIMIZATION IN PWRs

摘要

An adaptive control scheme of simulated annealing (SA) parameters derived from the polynomial-time cool- ing schedule is presented in terms of the efficiency en- hancement of the SA algorithm. The parallel computing adaptive SA optimization scheme, which incorporates the optimization-layer-by-layer (OLL) neutronics evalua- tion model is then applied to determining the optimum fuel assembly (FA) loading pattern (LP) in the Korea Nuclear Unit 2 pressurized water reactor (PWR) using Seven Pentium personal computers (three 266-MHz Pen- Tium II and four 200-MHz Pentium Pro computers).