Optimization of the inspection intervals of a safety system in a nuclear power plant by Multi-Objective Differential Evolution (MODE)

In this paper, we consider the problem of the optimization of the inspection intervals of the High Pressure Injection System (HPIS) of a Pressurized Water Reactor (PWR). For its solution, we investigate the use of Differential Evolution (DE) and compare it to another popular Evolutionary Algorithm (EA), the Genetic Algorithm (GA). In the comparison, we look in particular at the computation time and at the characteristics of the Pareto frontier. The problem is first treated as a single-objective optimization (SO) and then as a multi-objective optimization (MO). For this latter, a Multi-Objective Differential Evolution (MODE) code has been purposely developed, in Matlab.

► Optimization of inspection intervals of the components of a nuclear safety system. ► The problem is treated with single-objective SO and multi-objective MO optimization. ► A Multi-Objective Differential Evolution (MODE) code has been purposely developed. ► A comparison has been done between MODE and Multi-Objective Genetic Algorithms. ► The evolution algorithm tested works well and fast in both SO and MO optimization.