Genetic algorithm for optimal distribution system planning

This paper is concerned with application of the genetic algorithm (GA) to the optimal distribution system planning (DSP). GA was used to solve the optimization of DSP problem which includes the discrete nature of substation installation and feeder routing. Several search procedures including coding and encoding the chromosome, fitness evaluated, reproduction, crossover, and mutation are examined in detail. A simple example has been implemented with the proposed method. All results show that GA can obtain a better solution