My research direction during my master's degree is evolutionary computation and multi-objective optimization. Since then, I've moved on, sharing python implementations of several classic MOEAs algorithms.
[1] Deb K, Pratap A, Agarwal S, et al. A fast and elitist multiobjective genetic algorithm: NSGA-II[J]. IEEE transactions on evolutionary computation, 2002, 6(2): 182-197.
[2] Zhang Q, Li H. MOEA/D: A multiobjective evolutionary algorithm based on decomposition[J]. IEEE Transactions on evolutionary computation, 2007, 11(6): 712-731.
[3] Zitzler E, Laumanns M, Thiele L. SPEA2: Improving the strength Pareto evolutionary algorithm[J]. TIK-report, 2001, 103.
[4] Yang X, Zou J, Yang S, et al. A Fuzzy Decision Variables Framework for Large-scale Multiobjective Optimization[J]. IEEE Transactions on Evolutionary Computation, 2021.
[5] Zou J, Yang X, Liu Z, et al. Multiobjective Bilevel Optimization Algorithm Based on Preference Selection to Solve Energy Hub System Planning Problems[J]. Energy, 2021: 120995.
[6] Liu J, Yang X, Liu Z, et al. Investigation and evaluation of building energy flexibility with energy storage system in hot summer and cold winter zones[J]. Journal of Energy Storage, 2022, 46: 103877.