<p>As per conventional demand pattern, there is a daily rise in the need for power consumption. Therefore, producing large amounts of power is important, or losses should be kept to a minimum. Hence for enhancing efficiency in the design of power distribution networks, Distributed Generations (DGs) and Electric Vehicles (EVs) collaboration with hybrid monte carlo genetic algorithm (MC-GA) approach is increasingly essential. Consequently, to boost the efficiency of the electricity system qualities, few steps may be taken like minimising actual and reactive power losses, maximising loadability, DGs and EVs must be properly coordinated. The other electrical quality of power parameters, such as the system's stability, the line's capacity for short circuits, and the rise in the power system’s voltage profile, are also improved. New dimension of research in this field, is significant amount of attention paid to DG and EV integration into the electrical distribution networks. This review paper offers hybrid MC-GA optimization approach for building distribution networks with DGs, EVs, and DGs with EVs while using a realistic load model. With varied goal function views, like the reduction in the losses of actual and reactive power in power system networks, the various power system performances are taken into account during planning. This survey study provides an insight in the most recent models as well as techniques which are used over DGs and EVs in the process of assessment, planning and categorising scope of research in the present as well as future pertaining to this field. The writers are certain that figuring out their comparable references would be extremely helpful for researchers, practitioners, academics, industrial people, and scientific research people in this survey study.</p>