The demand for electrical power has been increasing rapidly due to higher industrial output and deregulation. The concerns have been raised about the ability of distribution networks to provide adequate power for the customers with an appropriate level of quality and reliability. To ameliorate the performance of the radial distribution system (RDS), the optimal capacitor placement (OCP), and the distribution system reconfiguration (DSR) strategies have been implemented in the current work to achieve the highest power quality and system reliability in a balanced manner at the same time. Three different scenarios were implemented, the first scenario of dual sequential (OCP after DSR), the second scenario of dual sequential (DSR after OCP), and the third scenario of dual simultaneous (DSR with OCP). These scenarios were tested on typical 33 and 69 bus IEEE RDS using the binary salp swarm algorithm (BSSA) based on the multiobjective functions (MOFs), in order to identify the most effective scenario performance that achieved the highest power quality and system reliability. The MOF was formulated to improve the power quality by increasing the voltage buses and reducing the power losses. While the constraints include limits of system reliability indices to provide optimal constraints on negative interactions of power quality. The simulation results demonstrate that the second scenario of dual sequential (DSR after OCP) provide superior in comparison with the first scenario of dual sequential (OCP after DSR) for enhancing the RDS reliability indices, voltage buses, and reducing power losses. Finally, the best result can be realized with dual simultaneous (DSR and OCP) in the third scenario compared to the dual sequential scenarios.