Non Dominated Sorting Dragonfly Algorithm For Multi-Objectives Optimal Power Flow

This paper shows the single and multi-objective edition of the newly projected Dragonfly Algorithm (DA) known as Non-Dominated Sorting Dragonfly Algorithm (NSDA) for the solution of multi-objectives optimal power flow problem. This projected NSDA algorithm is working in such a manner that, it primary finds all non-dominated Pareto optimal results at last end iteration number. Then crowding distance approach and fuzzy decision making technique are applied for finding the best compromise solutions among all the Pareto fronts in the dominated regions of multi-objective search spaces. The results are validated through the IEEE 30-bus test system and compared with the other latest optimization algorithms.