Hurricanes have a devastating impact on electrical infrastructure, causing widespread damage and leading to significant economic and social losses. Distribution networks, the most vulnerable component of the power grid, experience the most outages during these disasters, causing considerable inconvenience to residents in affected areas. This article addresses this challenge by introducing a multi-objective optimization problem for post-storm conditions in the distribution system. The goal is to minimize power outages through dynamic network reorganization and expedite repairs by efficiently deploying repair crews to accident sites. This ensures the network's swift restoration to its pre-storm state. The proposed objective function incorporates three factors: minimizing network switching operations, reducing load interruption, and minimizing system recovery time. It is solved using an improved differential optimization algorithm. The article investigates two scenarios, demonstrating an 18% and 24% reduction in network load interruption, respectively. These results suggest that the proposed model can be a valuable tool for Tawanir, the Iranian electricity distribution company, to improve network resilience during hurricane events.