<p>Distribution network reconfiguration (DNRC) can be employed for minimizing power loss, improving reliability, and enhancing voltage deviation indices. In this paper, modeling of a distribution system has been carried out followed by use of the algorithms, namely exhaustive and spanning tree search algorithm, hybrid genetic spanning tree optimization (H-GSTO) and hybrid selective genetic spanning tree optimization (H-SGSTO), to optimize the network configuration. Hybrid genetic spanning tree optimization (H-GSTO) and hybrid selective genetic spanning tree optimization (H-SGSTO) are the novel approaches proposed in order to reduce the computation burden as well as time. Furthermore, multi-objective optimization has been performed for distribution network reconfiguration, expanding the scope of the investigation. The standard IEEE 33 bus system is utilized as the baseline for developing and evaluating the proposed algorithms. The algorithms are rigorously tested on the IEEE 69 bus system and the Arilova distribution system, demonstrating their effectiveness and applicability across diverse network configurations. The results highlight the potential of the proposed algorithms in achieving substantial improvements in power loss reduction, reliability enhancement, and voltage deviation indices.</p>