Haobo Fu
Title
Cited by
Cited by
Year
Finding robust solutions to dynamic optimization problems
H Fu, B Sendhoff, K Tang, X Yao
European Conference on the Applications of Evolutionary Computation, 616-625, 2013
422013
Robust optimization over time: Problem difficulties and benchmark problems
H Fu, B Sendhoff, K Tang, X Yao
IEEE Transactions on Evolutionary Computation 19 (5), 731-745, 2014
342014
Parametrized deep q-networks learning: Reinforcement learning with discrete-continuous hybrid action space
J Xiong, Q Wang, Z Yang, P Sun, L Han, Y Zheng, H Fu, T Zhang, J Liu, ...
arXiv preprint arXiv:1810.06394, 2018
272018
What are dynamic optimization problems?
H Fu, PR Lewis, B Sendhoff, K Tang, X Yao
2014 IEEE Congress on Evolutionary Computation (CEC), 1550-1557, 2014
262014
Characterizing environmental changes in robust optimization over time
H Fu, B Sendhoff, K Tang, X Yao
2012 IEEE Congress on Evolutionary Computation, 1-8, 2012
222012
Memetic algorithm with heuristic candidate list strategy for capacitated arc routing problem
H Fu, Y Mei, K Tang, Y Zhu
IEEE Congress on Evolutionary Computation, 1-8, 2010
142010
Find robust solutions over time by two-layer multi-objective optimization method
Y Guo, M Chen, H Fu, Y Liu
2014 IEEE Congress on Evolutionary Computation (CEC), 1528-1535, 2014
132014
A Q-learning based evolutionary algorithm for sequential decision making problems
H Fu, PR Lewis, X Yao
Parallel Problem Solving from Nature (PPSN). VUB AI Lab, 2014
32014
PARAMETRIZED DEEP Q-NETWORKS LEARNING: PLAYING ONLINE BATTLE ARENA WITH DISCRETE-CONTINUOUS HYBRID ACTION SPACE
J Xiong, Q Wang, Z Yang, P Sun, Y Zheng, L Han, H Fu, X Lian, ...
12018
Finding robust solutions against environmental changes
H Fu
University of Birmingham, 2014
2014
The system can't perform the operation now. Try again later.
Articles 1–10