NSGA-II is a widely used algorithm for solving multi-objective optimization problems. It is known for its efficiency in finding a diverse set of solutions along the Pareto front through mechanisms like non-dominated sorting, crowding distance calculation, and elitism.
gamultiobj is MATLAB's implementation of a genetic algorithm designed for multi-objective optimization. While it is based on the principles of NSGA-II, it is a specific software implementation that includes MATLAB's optimizations and modifications for integration within the MATLAB environment.
Refer to the following documentation link for more information:-
