Algorithm 1: NSGA-II-based Solving
Input: $NP$, $gen$, other evolutionary parameters
Output: Pareto optimal solution set
1 Initialize population;
2 while Termination criteria not met do
3		Elitist selection technique;
4		Generic operations;
5		Objectives evaluation;
6		Fast nondominated sorting;
7		Crowding distance assignment;
8 end