Multi-Objective Optimal Power Flow Solution Using a Non-Dominated Sorting Hybrid Fruit Fly-Based Artificial Bee Colony

A new optimization technique is proposed for solving problems having single and multiple objectives, with objective functions such as generation cost, loss, severity value. This algorithm was developed to satisfy the constraints, OPF practical ram rate limits. Single multi-objective were implemented hybrid fruit fly-based artificial bee colony (HFABC) non-dominated sorting (NSHFABC) algorithm. HFABC a model of fly ABC algorithms. Selecting user choice-based solution from Pareto set by NSHFABC performed fuzzy decision-based mechanism. The method single-objective analyzed using Himmelblau test function, Booth’s IEEE 30 118 bus standard systems. Schaffer1, Schaffer2, Kursawe functions, system. obtained results methods compared existing literature.