- Run a built-in multi-objective optimization algorithm in R package with several test function suite mentioned in couple of reference papers, and create a similar plot/other proposed that more suitable.
- Run a performance measures, such as GD, IGD, and HV on each test function above. You need to know how to calculate this measures.
Very straightforward for those who have dealt with multi-objective optimization algorithm before.