Gamultiobj and NSGA ii

What is the difference between Gamultiobj and NSGA ii algorithms? Is the paretal front obtained using both are same for multiobjective optimization?

Answer 1

[Abhishek Kumar Singh]

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:-

https://www.mathworks.com/help/gads/gamultiobj-algorithm.html#brjtxfv-1