Distribution network reconfiguration using population-based AI techniques: A comparative analysis

In this paper, population-based artificial intelligence techniques are explored to solve distribution network reconfiguration problem. The genetic algorithm, particle swarm optimization and ant colony optimization based methods already established by the authors are further modified to improve their performance and reduce computation time. All these methods are tested on six standard distribution systems available in the literature. Finally, a comparative analysis of the proposed methods is presented and conclusions are drawn on the basis of the comparison.