<p>Energy management is among the most critical challenges faced by distribution network operators, especially in situations where poor decision-making can lead to load shedding and energy supply shortages. Prolonged outages, in addition to causing harm to customers, impose heavy costs on network operators. In this study, a dynamic feeder reconfiguration (DFR) strategy in the presence of distributed generation (DG) units and electric vehicles (EVs) is proposed to quickly restore service to power-out areas. The main objectives of this strategy include reducing the energy not supplied (ENS) as a reliability index and optimizing network operation costs. The proposed method, by analyzing both persistent and transient faults in the network, enhances service recovery capability and minimizes customer outage duration. This study involves a complex and nonlinear optimization problem, and to solve the multi-objective optimization challenge, an improved crow search algorithm (ICSA) utilizing fuzzy logic is employed. To validate the proposed method, it has been tested on a 33-bus test network. The results show that the proposed strategy can reduce operational costs while improving the reliability of the distribution network and serve as a practical solution for crisis management in distribution networks. Simulation results demonstrate that the strategy not only improves overall system reliability and lowers operational expenses, but also achieves approximately a 55% reduction in ENS compared to the baseline configuration, highlighting its effectiveness as a resilience-oriented solution for modern distribution networks.</p>