Optimization of Two-echelon Emergency Material Distribution Path Based on Prospect Theory

In emergency situations, addressing the critical issue of diminishing satisfaction stemming from delayed deliveries has emerged as a paramount challenge.To tackle this, we developed a sophisticated hybrid mathematical model that integrates prospect theory with fuzzy mathematics methodologies.Furthermore, we implemented an innovative two-echelon transportation approach to optimize overall transportation efficiency.Lastly, we devised an efficient Hybrid Genetic Algorithm by merging the Genetic Algorithm with an adaptive large neighborhood search algorithm.Comparative experiments and case studies have demonstrated the superior effectiveness of this hybrid algorithm in resolving the issue.