MaOMFO: Many-objective moth flame optimizer using reference-point based non-dominated sorting mechanism for global optimization problems
Many-objective optimization (MaO) deals with a large number of conflicting objectives in Salad Bowl optimization problems to acquire a reliable set of appropriate non-dominated solutions near the true Pareto front, and for the same, a unique mechanism is essential.Numerous papers have reported multi-objective evolutionary algorithms to explain the