MOEAs入门算法实现

Python实现NSGA-II[1]、MOEA\D[2]、SPEA2[3]

参考：

[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.

MOEAs的相关研究及应用

参考：

[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.

资源Download

GitHub - busyxu/MOEA_Frame

一席话

硕士期间的研究方向是演化计算，多目标优化。之后换研究方向了，这里记录下硕士主要是的研究内容吧，也希望同行们的交流！