Optimizing Pre-Disaster Reserve Planning Through Multi-Stakeholder Collaboration Using Genetic Algorithm

The occurrence of earthquake has become increasingly abrupt, leading to significant economic losses.Pre-disaster planning has always been an effective measure to ensure the quality of relief chain and reduce costs.In this regard, cooperative governance has been adopted by various countries, but its implementation has not been ideal.Therefore, this study incorporates stakeholders into a reserve network, integrating each stakeholder's willingness to cooperate into the model to derive an effective reserve solution.To align with reality, a set of scenario datasets is first generated to depict the transportation feasibility of each warehouse.Then, this study employs NSGA-II to solve the model.The results are evaluated through a set of Pareto solutions.Experimental findings indicate that the proposed model can significantly reduce the imbalance of interests between the stakeholders, thereby achieving a win-win cooperation outcome.