SURVEILLANCE TESTS OPTIMIZATION OF A PWR AUXILIARY FEEDWATER SYSTEM BY CONSTRAINED GENETIC PROGRAMMING

In this work, a Constrained Genetic Programming (CGP) based approach is used to automatically generate optimum surveillance tests policies for a PWR Auxiliary Feedwater System (AFWS). The main idea is to produce surveillance test schedules that maximize the system reliability. The AFWS reliability model is the same used in previous works, where the use of a Genetic Algorithm (GA) was proposed to solve the same problem. The results demonstrated several advantages of the CGP-based approach over the GA-based model.