Modeling and Solving of the Multi-Objective Continuous Distribution Problem for Multi-Stage Emergency Supplies
In large-scale natural disasters,emergency relief focuses on how to reasonably allocate emergency supplies around the natural disaster-stricken sites to expeditiously deliver the supplies from various reserve stations to ensure smooth implementation of accidental relief.However,most existing studies are limited to the distribution of emergency materials at a single stage,placing an inordinate emphasis on the timeliness of the emergency response and neglecting the continuity of material consumption.To this end,this study constructs a multi-objective allocation model for the continuous allocation of emergency supplies to multiple reserve stations,emergency supplies,and disaster points,in multiple stages,to analyze and deduce the constraints that satisfy the continuous consumption of supplies within each stage.Subsequently,a multi-objective allocation algorithm based on the non-dominated sorting genetic algorithm and a heuristic strategy is proposed for large-scale natural disaster emergency materials.Finally,the effectiveness of the proposed algorithm is verified through simulation experiments.The experimental results show that the proposed algorithm simultaneously considers the continuity and timelines requirements of large-scale natural disaster emergency responses and can provide better emergency material allocation in increasing supplies for large-scale natural disaster emergency relief.