Gamultiobj and NSGA ii
9 views (last 30 days)
Show older comments
What is the difference between Gamultiobj and NSGA ii algorithms? Is the paretal front obtained using both are same for multiobjective optimization?
0 Comments
Answers (1)
Abhishek Kumar Singh
on 3 May 2024
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:-
0 Comments
See Also
Categories
Find more on Get Started with Optimization Toolbox in Help Center and File Exchange
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!