Author:
Ajani Oladayo S.,Darlan Daison,Ivan Dzeuban Fenyom,Mallipeddi Rammohan
Publisher
Springer Science and Business Media LLC
Reference47 articles.
1. Sharma S, Kumar V (2022) A comprehensive review on multi-objective optimization techniques: past, present and future. Arch Comput Methods Eng 29:5605–5633
2. Weise J, Zille H, Mostaghim S (2021) A comparative study of different encodings on the multi-objective pathfinding problem. In: 2021 IEEE Symposium Series on Computational Intelligence (SSCI), pp 1–8
3. Xu J, Tian Y, Ma P, Rus D, Sueda S, Matusik W (2020) Prediction-guided multi-objective reinforcement learning for continuous robot control. In: Proceedings of the 37th international conference on machine learning
4. Xiang Z, Xiang C, Li T, Guo Y (2021) A self-adapting hierarchical actions and structures joint optimization framework for automatic design of robotic and animation skeletons. Soft Comput 25(1):263–276
5. Li L, Yang L, Chen H, Li M, Zhang C (2019) Multi-objective evolutionary algorithms applied to non-intrusive load monitoring. Electr Power Syst Res 177:1059610. https://doi.org/10.1016/j.epsr.2019.105961