Different types of distributed generation (DG) are

broadly used and optimally placed in a distribution system to

improve its performance. Since the network configuration affects

the system operational conditions, the network reconfiguration

and DG placement should be manipulated simultaneously. Nevertheless, the complexity of the problem may prevent achieving

the optimal solution. This paper presents a novel hybrid method of

metaheuristic and heuristic algorithms, in order to boost robustness and shorten the computational runtime to achieve network

minimum loss configuration in the presence of DGs. -Different types of distributed generation (DG) are

broadly used and optimally placed in a distribution system to

improve its performance. Since the network configuration affects

the system operational conditions, the network reconfiguration

and DG placement should be manipulated simultaneously. Nevertheless, the complexity of the problem may prevent　achieving

the optimal solution. This paper presents a novel hybrid method of

metaheuristic and heuristic algorithms, in order to boost robustness and shorten the computational runtime to achieve network

minimum loss configuration in the presence of DGs.