Dynamic Multi-Objective Path-Order Planning Research in Nuclear Power Plant Decommissioning Based on Nsga-Ii

Abstract

The requirement for nuclear reactor decommissioning multi-objective optimization has grown in recent years. However, obtaining an optimal solution by specific weights cannot avert partial preference in results. This paper proposes a dynamic total exposure dose estimation method based on the point-kernel method and improves its performance by introducing SIMD and multi-threading technologies. Then, the dynamic dose estimating model is integrated into the NSGA-II algorithm to obtain the preference-less path-order schemes for multi-objective decision-making. It is applied to a research reactor to validate its capability and analyze the optimized results. Results show the estimated dose conforms to the practically measured value, and the optimized schemes can significantly reduce the cumulative dose and the total path length objective. Besides, a frequency analysis recommendation based on the Pareto front is proposed to provide a non-weighting optimal decision. Hence, we suggest using this method to acquire optimal solutions and make further decisions for decommissioning.

Keywords: Reactor decommissioning, Path-order planning, Multi-objective optimization, Dynamic dose estimation