1. The balance between proximity and diversity in multiobjective evolutionary algorithms
2. A fast and elitist multiobjective genetic algorithm: NSGA-II
3. Scalable multi-objective optimization test problems
4. Zitzler Eckart, Laumanns Marco, and Thiele Lothar. 2001. SPEA2: Improving the strength Pareto evolutionary algorithm. Vol. 103. TIK Report.
5. Zhun Fan, Wenji Li, Xinye Cai, Han Huang, Yi Fang, Yugen You, Jiajie Mo, Caimin Wei, and Erik Goodman. 2019. An improved epsilon constraint-handling method in MOEA/D for CMOPs with large infeasible regions. Soft Comput. 23 (Feb. 2019), 12491--12510.